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@@ -12,21 +12,21 @@ StableAnimator: High-Quality Identity-Preserving Human Image Animation
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  [<sup>1</sup>Fudan University; <sup>2</sup>Microsoft Research Asia; <sup>3</sup>Huya Inc; <sup>4</sup>Carnegie Mellon University]
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  <p align="center">
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- <img src="assets/figures/case-47.gif" width="1024" />
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- <img src="assets/figures/case-61.gif" width="1024" />
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- <img src="assets/figures/case-45.gif" width="1024" />
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- <img src="assets/figures/case-46.gif" width="1024" />
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- <img src="assets/figures/case-5.gif" width="1024" />
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- <img src="assets/figures/case-17.gif" width="1024" />
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  <br/>
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  <span>Pose-driven Human image animations generated by StableAnimator, showing its power to synthesize <b>high-fidelity</b> and <b>ID-preserving videos</b>. All animations are <b>directly synthesized by StableAnimator without the use of any face-related post-processing tools</b>, such as the face-swapping tool FaceFusion or face restoration models like GFP-GAN and CodeFormer.</span>
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  </p>
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  <p align="center">
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- <img src="assets/figures/case-35.gif" width="1024" />
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- <img src="assets/figures/case-42.gif" width="1024" />
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- <img src="assets/figures/case-18.gif" width="1024" />
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- <img src="assets/figures/case-24.gif" width="1024" />
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  <br/>
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  <span>Comparison results between StableAnimator and state-of-the-art (SOTA) human image animation models highlight the superior performance of StableAnimator in delivering <b>high-fidelity, identity-preserving human image animation</b>.</span>
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  </p>
 
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  [<sup>1</sup>Fudan University; <sup>2</sup>Microsoft Research Asia; <sup>3</sup>Huya Inc; <sup>4</sup>Carnegie Mellon University]
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  <p align="center">
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+ <img src="assets/figures/case-47.gif" width="512" />
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+ <img src="assets/figures/case-61.gif" width="512" />
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+ <img src="assets/figures/case-45.gif" width="512" />
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+ <img src="assets/figures/case-46.gif" width="512" />
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+ <img src="assets/figures/case-5.gif" width="512" />
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+ <img src="assets/figures/case-17.gif" width="512" />
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  <br/>
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  <span>Pose-driven Human image animations generated by StableAnimator, showing its power to synthesize <b>high-fidelity</b> and <b>ID-preserving videos</b>. All animations are <b>directly synthesized by StableAnimator without the use of any face-related post-processing tools</b>, such as the face-swapping tool FaceFusion or face restoration models like GFP-GAN and CodeFormer.</span>
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  </p>
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  <p align="center">
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+ <img src="assets/figures/case-35.gif" width="512" />
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+ <img src="assets/figures/case-42.gif" width="512" />
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+ <img src="assets/figures/case-18.gif" width="512" />
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+ <img src="assets/figures/case-24.gif" width="512" />
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  <br/>
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  <span>Comparison results between StableAnimator and state-of-the-art (SOTA) human image animation models highlight the superior performance of StableAnimator in delivering <b>high-fidelity, identity-preserving human image animation</b>.</span>
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  </p>