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ARAPDiffusion: Geometry-Distribution Feedback for Deformable 3D Shape Generation
Deformable 3D shapes can undergo large changes in pose and morphology while still preserving plausible local geometry, yet generative models often produce samples with unnatural stretching or distortion. In latent generative models, such failures can arise from two coupled sources: the decoder deter
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