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Collaborative Neural Rendering using Anime Character Sheets | Papers With Code
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class="col-md-3"> <div class="paper-impl-cell"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 797 </div> </div> <div class="col-md-2"> <div class="paper-impl-cell"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> <div class="col-md-2 text-center"> <input type="radio" name="official-pgr-radio" class="official-pgr-input official-pgr-radio radios-version-element" value="2118011" > <input type="checkbox" class="official-pgr-input official-pgr-checkbox checkboxes-version-element" value="2118011" > </div> </div> <div class="row align-items-center"> <div 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19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> transpchan/Live3D-v2 </a> </div> </div> <div class="col-md-3"> <div class="paper-impl-cell"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 417 </div> </div> <div class="col-md-2"> <div class="paper-impl-cell"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> <div class="col-md-2 text-center"> <input type="radio" name="official-pgr-radio" class="official-pgr-input official-pgr-radio radios-version-element" value="2142217" > <input type="checkbox" class="official-pgr-input official-pgr-checkbox checkboxes-version-element" value="2142217" > </div> </div> <div class="radios-version-element"> <hr/> <div class="row align-items-center justify-content-between"> <div class="col-md-5"> <div class="paper-impl-cell"> There is no official implementation </div> </div> <div class="col-md-2 text-center"> <input type="radio" name="official-pgr-radio" value="" class="official-pgr-input official-pgr-radio" > </div> </div> </div> <hr/> <div class="row align-items-center justify-content-between"> <div class="col-md-5"> <div class="paper-impl-cell"> Multiple official implementations </div> </div> <div class="col-md-2 text-center"> <div class="custom-control custom-switch"> <input type="checkbox" class="custom-control-input" id="official-pgr-multiple-switch"> <label class="custom-control-label" for="official-pgr-multiple-switch" id="official-pgr-multiple-switch-label"></label> </div> </div> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary">Submit </button> </div> </form> </div> </div> </div> <!-- Add Row --> <div class="modal fade" id="addRow" role="dialog" aria-labelledby="addRowLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="addRowLabel">Add a new evaluation result row</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body"> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <div id="div_id_task" class="form-group"> <label for="id_task" class=" requiredField"> Task:<span class="asteriskField">*</span> </label> <div class=""> <select name="task" class="select form-control" required id="id_task"> <option value="" selected>---------</option> <option value="4665">Image to Video Generation</option> <option value="4762">Image to 3D</option> <option value="534">Video Generation</option> <option value="1">Image Generation</option> <option value="2203">Neural Rendering</option> </select> </div> </div> <div class="add-task-hint"> Not in the list? <a href="#addTask" data-bs-toggle="modal" data-bs-dismiss="modal">Add a task.</a> </div> <div id="div_id_dataset" class="form-group"> <label for="id_dataset" class=" requiredField"> Dataset:<span class="asteriskField">*</span> </label> <div class=""> <select name="dataset" class="modelselect2 form-control" required id="id_dataset" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_model_name" class="form-group"> <label for="id_model_name" class=" requiredField"> Model name:<span class="asteriskField">*</span> </label> <div class=""> <input type="text" name="model_name" class="textinput textInput form-control" required id="id_model_name"> </div> </div> <div id="div_id_metric" class="form-group"> <label for="id_metric" class=" requiredField"> Metric name:<span class="asteriskField">*</span> </label> <div class=""> <select name="metric" class="modelselect2 form-control" required id="id_metric" data-autocomplete-light-language="en" data-autocomplete-light-url="/metric-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="sota-metric-names"> </div> <div class="form-group"> <div id="div_id_metric_higher_is_better" class="form-check"> <input type="checkbox" name="metric_higher_is_better" class="checkboxinput form-check-input" id="id_metric_higher_is_better"> <label for="id_metric_higher_is_better" class="form-check-label"> Higher is better (for the metric) </label> </div> </div> <div id="div_id_metric_value" class="form-group"> <label for="id_metric_value" class=" requiredField"> Metric value:<span class="asteriskField">*</span> </label> <div class=""> <input type="text" name="metric_value" class="textinput textInput form-control" required id="id_metric_value"> </div> </div> <div id="sota-metric-values"> </div> <div class="form-group"> <div id="div_id_uses_additional_data" class="form-check"> <input type="checkbox" name="uses_additional_data" class="checkboxinput form-check-input" id="id_uses_additional_data"> <label for="id_uses_additional_data" class="form-check-label"> Uses extra training data </label> </div> </div> <div id="div_id_evaluated_on" class="form-group"> <label for="id_evaluated_on" class=""> Data evaluated on </label> <div class=""> <input type="text" name="evaluated_on" value="2022-07-12" autocomplete="off" class="dateinput form-control" id="id_evaluated_on"> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary"> Submit </button> </div> </form> </div> </div> </div> <!-- Remove Row --> <div class="modal fade" id="removeRow" role="dialog" aria-labelledby="removeRowLabel" aria-hidden="true"> <div class="modal-dialog modal-lg" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="removeRowLabel">Add a new evaluation result row</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body"> <div class="sota-table"> <table class="table-striped"> <tr> <th>TASK</th> <th>DATASET</th> <th>MODEL</th> <th>METRIC NAME</th> <th>METRIC VALUE</th> <th>GLOBAL RANK</th> <th>REMOVE</th> </tr> </table> </div> </div> </form> </div> </div> </div> <!-- Add Task --> <div class="modal fade" id="addTask" role="dialog" aria-labelledby="addTaskLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="addTaskLabel">Add a task</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <div class="current-tasks-title">Attached tasks:</div> <ul class="list-unstyled"> <li> <a href="/task/image-generation"> <span class="badge badge-primary">IMAGE GENERATION</span> </a> </li> </ul> <ul class="list-unstyled"> <li> <a href="/task/image-to-3d"> <span class="badge badge-primary">IMAGE TO 3D</span> </a> </li> </ul> <ul class="list-unstyled"> <li> <a href="/task/image-to-video"> <span class="badge badge-primary">IMAGE TO VIDEO GENERATION</span> </a> </li> </ul> <ul class="list-unstyled"> <li> <a href="/task/neural-rendering"> <span class="badge badge-primary">NEURAL RENDERING</span> </a> </li> </ul> <ul class="list-unstyled"> <li> <a href="/task/video-generation"> <span class="badge badge-primary">VIDEO GENERATION</span> </a> </li> </ul> <form action="" method="post"> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <div id="div_id_task" class="form-group"> <label for="id_task" class=""> Add: </label> <div class=""> <select name="task" class="modelselect2 form-control" id="id_task" data-autocomplete-light-language="en" data-autocomplete-light-url="/task-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div class="modal-help-text"> Not in the list?<br/> <a href="#" id="new-task-form-toggle"> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Create a new task</a>. </div> <div id="new-task-form" style="display: none"> <div id="div_id_new_task_name" class="form-group"> <label for="id_new_task_name" class=""> New task name: </label> <div class=""> <input type="text" name="new_task_name" maxlength="200" class="textinput textInput form-control" id="id_new_task_name"> </div> </div> <div id="div_id_new_task_area" class="form-group"> <label for="id_new_task_area" class=""> Top-level area: </label> <div class=""> <select name="new_task_area" class="select form-control" id="id_new_task_area"> <option value="" selected>---------</option> <option value="17">Adversarial</option> <option value="18">Audio</option> <option value="11">Computer Code</option> <option value="3">Computer Vision</option> <option value="9">Graphs</option> <option value="15">Knowledge Base</option> <option value="7">Medical</option> <option value="6">Methodology</option> <option value="5">Miscellaneous</option> <option value="12">Music</option> <option value="4">Natural Language Processing</option> <option value="13">Playing Games</option> <option value="14">Reasoning</option> <option value="16">Robots</option> <option value="10">Speech</option> <option value="8">Time Series</option> </select> </div> </div> <div id="div_id_new_task_parent" class="form-group"> <label for="id_new_task_parent" class=""> Parent task (if any): </label> <div class=""> <select name="new_task_parent" class="modelselect2 form-control" id="id_new_task_parent" data-autocomplete-light-language="en" data-autocomplete-light-url="/task-and-tag-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_new_task_desc" class="form-group"> <label for="id_new_task_desc" class=""> Description: </label> <div class=""> <textarea name="new_task_desc" cols="40" rows="3" class="textarea form-control" id="id_new_task_desc"> </textarea> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary"> Submit </button> </div> </form> </div> </div> </div> </div> <!-- Remove Task --> <div class="modal fade" id="removeTask" tabindex="-1" role="dialog" aria-labelledby="removeTaskLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="removeTaskLabel">Remove a task</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body"> <ul class="list-unstyled paper-tasks"> <form action="" method="post"> <li> <a href="/task/image-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/5ac09bd9-8785-4253-8cf4-4412dcd36426.jpg"> <span>Image Generation</span> </span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <input type="hidden" name="remove_task_pk" value="1"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled paper-tasks"> <form action="" method="post"> <li> <a href="/task/image-to-3d"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image to 3D</span> </span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <input type="hidden" name="remove_task_pk" value="4762"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled paper-tasks"> <form action="" method="post"> <li> <a href="/task/image-to-video"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image to Video Generation</span> </span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <input type="hidden" name="remove_task_pk" value="4665"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled paper-tasks"> <form action="" method="post"> <li> <a href="/task/neural-rendering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/be5ac809-14d6-4ca4-b51c-8793ad674180.jpg"> <span>Neural Rendering</span> </span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <input type="hidden" name="remove_task_pk" value="2203"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> <ul class="list-unstyled paper-tasks"> <form action="" method="post"> <li> <a href="/task/video-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/11ba3d1a-5ca7-459a-a0dd-658050e2c75b.gif"> <span>Video Generation</span> </span> </a> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <input type="hidden" name="remove_task_pk" value="534"> <button type="submit" class="btn btn-danger" style="width:2.5em">- </button> </li> </form> </ul> </div> </form> </div> </div> </div> <!-- Add Method --> <div class="modal fade" id="addMethod" role="dialog" aria-labelledby="addMethodLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="addMethodLabel">Add a method</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <div class="modal-body"> <form action="" method="post"> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <div id="div_id_method" class="form-group"> <label for="id_method" class=""> Add: </label> <div class=""> <select name="method" class="modelselect2 form-control" id="id_method" data-autocomplete-light-language="en" data-autocomplete-light-url="/method-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div class="modal-help-text"> Not in the list?<br/> <a href="#" id="new-method-form-toggle"> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Create a new method</a>. </div> <div id="new-method-form" style="display: none"> <div id="div_id_new_method_name" class="form-group"> <label for="id_new_method_name" class=""> <b>New method name</b> (e.g. ReLU): </label> <div class=""> <input type="text" name="new_method_name" maxlength="200" minlength="2" class="textinput textInput form-control" id="id_new_method_name"> </div> </div> <div id="div_id_new_method_full_name" class="form-group"> <label for="id_new_method_full_name" class=""> <b>New method full name</b> (e.g. Rectified Linear Unit): </label> <div class=""> <input type="text" name="new_method_full_name" maxlength="200" minlength="2" class="textinput textInput form-control" id="id_new_method_full_name"> </div> </div> <div id="div_id_new_method_paper" class="form-group"> <label for="id_new_method_paper" class=""> <b>Paper where method was first introduced</b>: </label> <div class=""> <select name="new_method_paper" class="modelselect2 form-control" id="id_new_method_paper" data-autocomplete-light-language="en" data-autocomplete-light-url="/paper-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_new_method_collection" class="form-group"> <label for="id_new_method_collection" class=""> <b>Method category</b> (e.g. Activation Functions): <i>If no match, add something for now then you can add a new category afterwards.</i> </label> <div class=""> <select name="new_method_collection" class="modelselect2 form-control" id="id_new_method_collection" data-autocomplete-light-language="en" data-autocomplete-light-url="/method-collection-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_new_method_desc" class="form-group"> <label for="id_new_method_desc" class=""> <b>Markdown description</b> (optional; $\LaTeX$ enabled): <i>You can edit this later, so feel free to start with something succinct.</i> </label> <div class=""> <textarea name="new_method_desc" cols="40" rows="10" class="textarea form-control" id="id_new_method_desc"> </textarea> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary"> Submit </button> </div> </form> </div> </div> </div> </div> <!-- Remove Method --> <div class="modal fade" id="removeMethod" tabindex="-1" role="dialog" aria-labelledby="removeMethodLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="removeMethodLabel">Remove a method</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body"> </div> </form> </div> </div> </div> <!-- Badge Modal --> <div class="modal fade" id="badgeModal" tabindex="-1" role="dialog" aria-labelledby="badgeModalLabel" aria-hidden="true" > <div class="modal-dialog modal-lg" role="document"> <div class="modal-content modal-badge"> </div> </div> </div> <!-- Edit Datasets --> <div class="modal fade" id="editDatasets" role="dialog" aria-labelledby="editDatasetsLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="editDatasetsLabel">Edit Datasets</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body paper-page-edit-dataset-modal"> <input type="hidden" name="csrfmiddlewaretoken" value="LCgYIV3qKS60ZUp02XothGboHizyornmDb8kknfHcM7WvYU9dvIGccMamH1gQQea"> <div id="div_id_introduced" class="form-group"> <label for="id_introduced" class=""> Add or remove datasets <b>introduced</b> in this paper: </label> <div class=""> <select name="introduced" data-container-css-class="" data-allow-clear="false" style="width: 100%" class="modelselect2multiple form-control" id="id_introduced" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2" multiple> <option value="15791" selected>UltraDensePose</option> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_introduced"><script type="text/dal-forward-conf">[{"type": "const", "val": true, "dst": "canonical_only"}, {"type": "const", "val": true, "dst": "disable_create_option"}]</script></div> </div> </div> <div id="div_id_used" class="form-group"> <label for="id_used" class=""> Add or remove other datasets <b>used</b> in this paper: </label> <div class=""> <select name="used" data-container-css-class="" data-allow-clear="false" style="width: 100%" class="modelselect2multiple form-control" id="id_used" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2" multiple> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_used"><script type="text/dal-forward-conf">[{"type": "const", "val": true, "dst": "canonical_only"}, {"type": "const", "val": true, "dst": "disable_create_option"}]</script></div> </div> </div> <div style="display: inline-block; padding-bottom: 15px;font-size:14px;"> Paper introduces a new dataset? <div style="padding-top:4px"> <a href="/contribute/dataset/new"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="plus-circle"><svg viewBox="0 0 512 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M256 9.998c137 0 248 111 248 248s-111 248-248 248-248-111-248-248 111-248 248-248zm144 276v-56c0-6.6-5.4-12-12-12h-92v-92c0-6.6-5.4-12-12-12h-56c-6.6 0-12 5.4-12 12v92h-92c-6.6 0-12 5.4-12 12v56c0 6.6 5.4 12 12 12h92v92c0 6.6 5.4 12 12 12h56c6.6 0 12-5.4 12-12v-92h92c6.6 0 12-5.4 12-12z"/></svg></span> Add a new dataset here </a> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="edit-datasets"> Save </button> </div> </form> </div> </div> </div> </template> <div class="container content content-buffer "> <main> <div class="paper-title"> <div class="row"> <div class="col-md-12"> <h1> Collaborative Neural Rendering using Anime Character Sheets </h1> <div class="authors"> <p> <span class="author-span">12 Jul 2022</span> · <span class="author-span"> <a href="/author/zuzeng-lin">Zuzeng Lin</a></span>, <span class="author-span"> <a href="/author/ailin-huang">Ailin Huang</a></span>, <span class="author-span"> <a href="/author/zhewei-huang">Zhewei Huang</a></span> <span class="hidden-element">· </span><button type="button" class="badge-edit" data-bs-toggle="modal" data-bs-toggle="modal" data-bs-target="#loginModal"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> <span>Edit social preview</span> </button> </p> </div> </div> </div> </div> <div class="paper-abstract"> <div class="row"> <div class="col-md-12"> <p> Drawing images of characters with desired poses is an essential but laborious task in anime production. Assisting artists to create is a research hotspot in recent years. In this paper, we present the Collaborative Neural Rendering (CoNR) method, which creates new images for specified poses from a few reference images (AKA Character Sheets). In general, the diverse hairstyles and garments of anime characters defies the employment of universal body models like SMPL, which fits in most nude human shapes. To overcome this, CoNR uses a compact and easy-to-obtain landmark encoding to avoid creating a unified UV mapping in the pipeline. In addition, the performance of CoNR can be significantly improved when referring to multiple reference images, thanks to feature space cross-view warping in a carefully designed neural network. Moreover, we have collected a character sheet dataset containing over 700,000 hand-drawn and synthesized images of diverse poses to facilitate research in this area. Our code and demo are available at https://github.com/megvii-research/IJCAI2023-CoNR. </p> <a href="https://arxiv.org/pdf/2207.05378v5.pdf" onclick="captureOutboundLink('https://arxiv.org/pdf/2207.05378v5.pdf'); return true;" class="badge badge-light "> <span class=" icon-wrapper icon-fa icon-fa-regular" data-name="file-pdf"><svg viewBox="0 0 384 513.795" xmlns="http://www.w3.org/2000/svg"><path d="M369.9 98.88c9 9 14.1 21.3 14.1 34v332.1c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-416c0-26.5 21.5-48 48-48.1h204.1c12.7 0 24.9 5.1 33.9 14.1zm-37.8 30.1L256 52.88v76.1h76.1zM48 464.98h288v-288H232c-13.3 0-24-10.7-24-24v-104H48v416zm250.2-143.7c10.5 10.5 8 38.7-17.5 38.7-14.8 0-36.9-6.8-55.8-17-21.6 3.6-46 12.7-68.4 20.1-50.1 86.4-79.4 47-76.1 31.2 4-20 31-35.9 51-46.2 10.5-18.4 25.4-50.5 35.4-74.4-7.4-28.6-11.4-51-7-67.1 4.8-17.7 38.4-20.3 42.6 5.9 4.7 15.4-1.5 39.9-5.4 56 8.1 21.3 19.6 35.8 36.8 46.3 17.4-2.2 52.2-5.5 64.4 6.5zm-198.1 77.8c0 .7 11.4-4.7 30.4-35-5.9 5.5-25.299 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<table> <tr> <td>↳ Quickstart in </td> <td> <div class="colab-logo"> <a href="https://colab.research.google.com/github/megvii-research/CoNR/blob/main/notebooks/conr.ipynb" onclick="captureOutboundLink('https://colab.research.google.com/github/megvii-research/CoNR/blob/main/notebooks/conr.ipynb'); return true;" class="badge badge-primary"> <img src="data:image/png;base64,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"> Colab </a> </div> </td> </tr> </table> </div> </div> <div class="col-3"> <div class="paper-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 797 </div> </div> <div class="col-2"> <div class="paper-impl-cell text-center"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> </div> <div class="row"> <div class="col-sm-7"> <div class="paper-impl-cell"> <a href="https://github.com/megvii-research/ijcai2023-conr" onclick="captureOutboundLink('https://github.com/megvii-research/ijcai2023-conr'); return true;" class="code-table-link"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> megvii-research/ijcai2023-conr </a> </div> <div class="additional-options"> <table> <tr> <td>↳ Quickstart in </td> <td> <div class="colab-logo"> <a href="https://colab.research.google.com/github/megvii-research/CoNR/blob/main/notebooks/conr.ipynb" onclick="captureOutboundLink('https://colab.research.google.com/github/megvii-research/CoNR/blob/main/notebooks/conr.ipynb'); return true;" class="badge badge-primary"> <img src="data:image/png;base64,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"> Colab </a> </div> </td> </tr> </table> </div> </div> <div class="col-3"> <div class="paper-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 797 </div> </div> <div class="col-2"> <div class="paper-impl-cell text-center"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> </div> <div class="row"> <div class="col-sm-7"> <div class="paper-impl-cell"> <a href="https://github.com/transpchan/Live3D-v2" onclick="captureOutboundLink('https://github.com/transpchan/Live3D-v2'); return true;" class="code-table-link"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> transpchan/Live3D-v2 </a> </div> <div class="additional-options"> <table> <tr> <td>↳ Quickstart in </td> <td> <div class="colab-logo"> <a href="https://colab.research.google.com/github/transpchan/Live3D-v2/blob/main/notebook.ipynb" onclick="captureOutboundLink('https://colab.research.google.com/github/transpchan/Live3D-v2/blob/main/notebook.ipynb'); return true;" class="badge badge-primary"> <img src="data:image/png;base64,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"> Colab </a> </div> </td> </tr> </table> </div> </div> <div class="col-3"> <div class="paper-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 417 </div> </div> <div class="col-2"> <div class="paper-impl-cell text-center"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> </div> </div> <div id="implementations-full-list" style="display:none"> <div class="row"> <div class="col-sm-7"> <div class="paper-impl-cell"> <a href="https://github.com/transpchan/Live3D" onclick="captureOutboundLink('https://github.com/transpchan/Live3D'); return true;" class="code-table-link"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> transpchan/Live3D <span class="badge badge-info is-official-code"><span class=" icon-wrapper icon-ion" data-name="checkmark-circle-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M448 256c0-106-86-192-192-192S64 150 64 256s86 192 192 192 192-86 192-192z" fill="none" stroke="#000" stroke-miterlimit="10" stroke-width="32"/><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M352 176L217.6 336 160 272"/></svg></span> official</span> </a> </div> </div> <div class="col-3"> <div class="paper-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 98 </div> </div> <div class="col-2"> <div class="paper-impl-cell text-center"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> </div> <div class="row"> <div class="col-sm-7"> <div class="paper-impl-cell"> <a href="https://github.com/megvii-research/conr" onclick="captureOutboundLink('https://github.com/megvii-research/conr'); return true;" class="code-table-link"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> megvii-research/conr </a> </div> <div class="additional-options"> <table> <tr> <td>↳ Quickstart in </td> <td> <div class="colab-logo"> <a href="https://colab.research.google.com/github/megvii-research/CoNR/blob/main/notebooks/conr.ipynb" onclick="captureOutboundLink('https://colab.research.google.com/github/megvii-research/CoNR/blob/main/notebooks/conr.ipynb'); return true;" class="badge badge-primary"> <img src="data:image/png;base64,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"> Colab </a> </div> <td> </td> </tr> </table> </div> </div> <div class="col-3"> <div class="paper-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 797 </div> </div> <div class="col-2"> <div class="paper-impl-cell text-center"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> </div> <div class="row"> <div class="col-sm-7"> <div class="paper-impl-cell"> <a href="https://github.com/megvii-research/ijcai2023-conr" onclick="captureOutboundLink('https://github.com/megvii-research/ijcai2023-conr'); return true;" class="code-table-link"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> megvii-research/ijcai2023-conr </a> </div> <div class="additional-options"> <table> <tr> <td>↳ Quickstart in </td> <td> <div class="colab-logo"> <a href="https://colab.research.google.com/github/megvii-research/CoNR/blob/main/notebooks/conr.ipynb" onclick="captureOutboundLink('https://colab.research.google.com/github/megvii-research/CoNR/blob/main/notebooks/conr.ipynb'); return true;" class="badge badge-primary"> <img src="data:image/png;base64,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"> Colab </a> </div> <td> </td> </tr> </table> </div> </div> <div class="col-3"> <div class="paper-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 797 </div> </div> <div class="col-2"> <div class="paper-impl-cell text-center"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> </div> <div class="row"> <div class="col-sm-7"> <div class="paper-impl-cell"> <a href="https://github.com/transpchan/Live3D-v2" onclick="captureOutboundLink('https://github.com/transpchan/Live3D-v2'); return true;" class="code-table-link"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> transpchan/Live3D-v2 </a> </div> <div class="additional-options"> <table> <tr> <td>↳ Quickstart in </td> <td> <div class="colab-logo"> <a href="https://colab.research.google.com/github/transpchan/Live3D-v2/blob/main/notebook.ipynb" onclick="captureOutboundLink('https://colab.research.google.com/github/transpchan/Live3D-v2/blob/main/notebook.ipynb'); return true;" class="badge badge-primary"> <img src="data:image/png;base64,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"> Colab </a> </div> <td> </td> </tr> </table> </div> </div> <div class="col-3"> <div class="paper-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 417 </div> </div> <div class="col-2"> <div class="paper-impl-cell text-center"> <img class="" src="https://production-assets.paperswithcode.com/perf/images/frameworks/pytorch-2fbf2cb9.png" /> </div> </div> </div> </div> </div> </div> <div class="col-md-5 paper-section" id="tasks"> <div class="paper-section-title"> <div class="row"> <div class="col-md-12"> <h2>Tasks <div class="float-right"> <div class="dropdown edit-button"> <button class="dropdown-toggle badge badge-edit" 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src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image to 3D</span> </span> </a> <a href="/task/image-to-video"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Image to Video Generation</span> </span> </a> <a href="/task/neural-rendering"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/be5ac809-14d6-4ca4-b51c-8793ad674180.jpg"> <span>Neural Rendering</span> </span> </a> <a href="/task/video-generation"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/11ba3d1a-5ca7-459a-a0dd-658050e2c75b.gif"> <span>Video Generation</span> </span> </a> </div> </div> </div> </div> </div> </div> <div class="row"> <div class="col-md-12 paper-section paper-evaluation-section-title" id="datasets"> <div class="paper-section-title"> <div class="row"> <div class="col-md-12 zero-padding-datasets"> <h2>Datasets <div class="float-right"> <div class="dropdown edit-button"> <button class="dropdown-toggle badge badge-edit" type="button" id="datasetEditMenu" data-bs-toggle="modal" data-bs-target="#loginModal" aria-haspopup="true" aria-expanded="false"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> </div> </div> </h2> <hr/> </div> </div> <div class="paper-datasets"> <div class="row"> <div class="col-md-12"> <p><b>Introduced in the Paper:</b></p> <span class="badge badge-primary"> <a href="/dataset/ultradensepose"> <span class="icon-list-image" style="opacity:0.4;color:#A59F78"><span class=" icon-wrapper icon-fa icon-fa-solid" data-name="file"><svg viewBox="0 0 384 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M224 137.998c0 13.2 10.8 24 24 24h136v328c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24v-464c0-13.3 10.7-24 24-24h200v136zm160-14.1v6.1H256v-128h6.1c6.4 0 12.5 2.5 17 7l97.9 98c4.5 4.5 7 10.6 7 16.9z"/></svg></span></span> UltraDensePose </a> </span> </div> </div> </div> </div> </div> </div> <!-- End portal_name if --> <div class="row"> <div id="results" class="col-md-12 paper-evaluation-section-title"> <div class="paper-section-title"> <div class="row"> <div class="col-md-12 zero-padding"> <h2>Results from the Paper <div class="float-right"> <div class="edit-button"> <a class="dropdown-toggle badge badge-edit" id="evalEditMenu" href="/paper/collaborative-neural-rendering-using-anime/review/"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </a> </div> </div> </h2> <hr/> <div class="paper-evaluation-badge" style="font-size:15px;margin-bottom: 30px;"> <span style="font-size:20px"><span class=" icon-wrapper icon-fa icon-fa-light" data-name="chart-bar"><svg viewBox="0 0 512 520.146" xmlns="http://www.w3.org/2000/svg"><path d="M424 353c-4.4 0-8-3.6-8-8V105c0-4.4 3.6-8 8-8h16c4.4 0 8 3.6 8 8v240c0 4.4-3.6 8-8 8h-16zm-96 0c-4.4 0-8-3.6-8-8V201c0-4.4 3.6-8 8-8h16c4.4 0 8 3.6 8 8v144c0 4.4-3.6 8-8 8h-16zm-192 0c-4.4 0-8-3.6-8-8v-80c0-4.4 3.6-8 8-8h16c4.4 0 8 3.6 8 8v80c0 4.4-3.6 8-8 8h-16zm96 0c-4.4 0-8-3.6-8-8V137c0-4.4 3.6-8 8-8h16c4.4 0 8 3.6 8 8v208c0 4.4-3.6 8-8 8h-16zm272 64c4.42 0 8 3.58 8 8v16c0 4.42-3.58 8-8 8H16c-8.84 0-16-7.16-16-16V73c0-4.42 3.58-8 8-8h16c4.42 0 8 3.58 8 8v344h472z"/></svg></span></span> Submit <a href="/paper/collaborative-neural-rendering-using-anime/review/"> results from this paper </a> to get state-of-the-art GitHub badges and help the community compare results to other papers. </div> </div> </div> </div> </div> </div> <div class="paper-evaluation-section" id="evaluation"> <div class="row"> <div class="col-md-12"> </div> </div> </div> <div class="row"> <div id="methods" class="col-md-12 paper-evaluation-section-title"> <div class="paper-section-title"> <div class="row"> <div class="col-md-12 zero-padding"> <h2> Methods <div class="float-right"> <div class="dropdown edit-button"> <button class="dropdown-toggle badge badge-edit" type="button" id="methodEditMenu" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> <div class="dropdown-menu dropdown-menu-end" aria-labelledby="methodEditMenu"> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add</a> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="remove"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M400 256H112"/></svg></span> Remove</a> </div> </div> </div> </h2> <hr/> </div> </div> </div> </div> </div> <div class="method-section" id="methods"> No methods listed for this paper. 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