Video-Conditioned Generative Joint 2D-3D Hand Motion Recovery

arXiv:2610.10512 · cs.CV · Submitted 2026-10-07 · Read on arXiv

cs.CV

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• Accuracy — 16× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Flow Matching — 6× in this paper · explained in 8 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• ACM Transactions on Graphics — 2× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Generative Models — 2× in this paper · explained in 3 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Temporal consistency — 2× in this paper · explained in 2 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• Exposure Bias — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes

Sources

• HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset
• Classifier-Free Diffusion Guidance
• HandFlow: Fully Generative 4D Hand Recovery with Flow Matching

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