ARAPDiffusion: Geometry-Distribution Feedback for Deformable 3D Shape Generation

arXiv:2606.06887 · cs.CV · Submitted 2026-06-05 · Read on arXiv

cs.CV

Submitted: 2026-06-05

Updated: 2026-09-26

Terminology

• Diffusion Model — 47× in this paper · explained in 8 episodes
• Regularization — 47× in this paper · explained in 3 episodes
• Generative Model — 30× in this paper · explained in 2 episodes
• Latent Space — 25× in this paper · explained in 7 episodes
• Generative Models — 14× in this paper · explained in 2 episodes
• Diffusion Models — 12× in this paper · explained in 6 episodes
• Latent Diffusion Model — 11× in this paper · explained in 2 episodes
• Reconstruction Error — 11× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Wasserstein Distance — 7× in this paper · explained in 4 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Ablation study — 5× in this paper · explained in 1 episode
• Point Clouds — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Generative Modeling — 4× in this paper · explained in 3 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Gradient Flow — 2× in this paper · explained in 2 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agnostic Learning — 1× in this paper · explained in 1 episode
• Alternation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• IEEE International Conference on Computer Vision — 1× in this paper
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields
• Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details
• Estimating Body and Hand Motion in an Ego-sensed World

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