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Wei Cheng
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<a class="link-pill" href="https://huggingface.co/datasets/OmniLottie/MMLottieBench" target="_blank" rel="noreferrer"> <a class="link-pill" href="https://huggingface.co/datasets/OmniLottie/MMLottieBench" target="_blank" rel="noreferrer">
<img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" alt="HuggingFace" style="height:1.05em;vertical-align:-0.10em;margin-right:-0.09em;">MMLottie-Bench <img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" alt="HuggingFace" style="height:1.05em;vertical-align:-0.10em;margin-right:-0.09em;">MMLottie-Bench
</a> </a>
<a class="link-pill" href="https://huggingface.co/datasets/OmniLottie/MMLottie-2M" target="_blank" rel="noreferrer"> <a class="link-pill" href="https://huggingface.co/spaces/OmniLottie/OmniLottie" target="_blank" rel="noreferrer">
<img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" alt="HuggingFace" style="height:1.05em;vertical-align:-0.10em;margin-right:-0.09em;">Demo <img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" alt="HuggingFace" style="height:1.05em;vertical-align:-0.10em;margin-right:-0.09em;">Demo
</a> </a>
</div> </div>
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<section class="panel"> <section class="panel">
<div class="section-head"> <div class="section-head">
<h2>Lottie Parametrization and Generation Process</h2> <h2>Lottie Parametrization and Generation Process</h2>
<!-- <p>上方主 Demo + 下方 3 个叠加切换 Demo</p> -->
</div> </div>
<div class="demo-stack"> <div class="demo-stack">
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<section class="panel"> <section class="panel">
<div class="section-head"> <div class="section-head">
<h2>Introducing OmniLottie</h2> <h2>Introducing OmniLottie</h2>
<!-- <p>Dataset（Image #3）与技术路径（Image #2）</p> -->
</div> </div>
<div class="tech-grid"> <div class="tech-grid">
<article class="tech-card"> <article class="tech-card">
<h3>MMLottie-2M Dataset</h3> <h3>MMLottie-2M Dataset</h3>
<!-- <p>MMLottie-2M 汇集大规模专业 Lottie 动画及多模态标注，覆盖文本、关键帧和视频渲染，支持从语义到细节动作的学习。</p> -->
<p><b>Overview of the Vector Animation Data Construction Pipeline.</b> <p><b>Overview of the Vector Animation Data Construction Pipeline.</b>
<b>Data Collection & Conversion :</b> We convert SVG assets into static Lottie files and apply randomized animation effects to generate effect-tagged animated Lotties. In parallel, we gather professionally created Lottie animations from five online platforms and perform thorough filtering and cleaning. <b>Data Processing :</b> Each animation undergoes spatio-temporal normalization, followed by video rendering and random keyframe extraction. <b>Data Annotation :</b> Finally, we provide multi-granularity annotations emphasizing geometric structure, color attributes, and motion characteristics.</p> <b>Data Collection & Conversion :</b> We convert SVG assets into static Lottie files and apply randomized animation effects to generate effect-tagged animated Lotties. In parallel, we gather professionally created Lottie animations from five online platforms and perform thorough filtering and cleaning. <b>Data Processing :</b> Each animation undergoes spatio-temporal normalization, followed by video rendering and random keyframe extraction. <b>Data Annotation :</b> Finally, we provide multi-granularity annotations emphasizing geometric structure, color attributes, and motion characteristics.</p>
<img src="./assets/OmniLottie-data-pipeline.png" alt="Dataset and data processing pipeline"> <img src="./assets/OmniLottie-data-pipeline.png" alt="Dataset and data processing pipeline">