用物理模拟生成符合动漫风格的动态动画，省去人工绘制。
PhysAnimator: Physics-Guided Generative Cartoon Animation
- 通过图像空间变形体模拟，还原动漫特有的流畅与夸张动作。
- 结合自定义能量笔触和骨骼点支持，实现风力等交互效果。
- 适合想快速生成高质量动漫动画的创作者或游戏开发者。
手绘动画制作耗时且需专业技能。我们提出 PhysAnimator，一种从静态动漫图生成物理合理且风格化的动态动画的新方法。该方法将基于物理的模拟与数据驱动的生成模型无缝结合，通过在提取的网格几何上进行图像空间可变形体模拟，捕捉动漫特有的流动感与夸张性。通过引入可定制的能量笔触和刚性点支撑，增强艺术控制力，实现如风吹动等特效。最后，从模拟序列中提取并扭曲草图，生成无纹理表示，并利用草图引导的视频扩散模型合成高质量动画帧。结果展现出良好的时间一致性和视觉合理性，验证了方法在生成动态动漫风格动画方面的有效性。更多演示见项目页：https://xpandora.github.io/PhysAnimator/
原文摘要 · Abstract (English)
Creating hand-drawn animation sequences is labor-intensive and demands professional expertise. We introduce PhysAnimator, a novel approach for generating physically plausible meanwhile anime-stylized animation from static anime illustrations. Our method seamlessly integrates physics-based simulations with data-driven generative models to produce dynamic and visually compelling animations. To capture the fluidity and exaggeration characteristic of anime, we perform image-space deformable body simulations on extracted mesh geometries. We enhance artistic control by introducing customizable energy strokes and incorporating rigging point support, enabling the creation of tailored animation effects such as wind interactions. Finally, we extract and warp sketches from the simulation sequence, generating a texture-agnostic representation, and employ a sketch-guided video diffusion model to synthesize high-quality animation frames. The resulting animations exhibit temporal consistency and visual plausibility, demonstrating the effectiveness of our method in creating dynamic anime-style animations. See our project page for more demos: https://xpandora.github.io/PhysAnimator/
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