Bimanual 3D Hand Motion and Articulation Forecasting in Everyday Images

arXiv:2510.06145 · cs.CV, cs.AI, cs.LG · Submitted 2025-10-07 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2025-10-07

Updated: 2026-09-19

Comments: Project page: https://ap229997.github.io/projects/forehand4d

Project page: https://ap229997.github.io/projects/forehand4d

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 25× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 22× in this paper
• Diffusion Model — 17× in this paper · explained in 8 episodes
• Generalization — 10× in this paper · explained in 13 episodes
• International Conference on Computer Vision — 7× in this paper
• European Conference on Computer Vision — 6× in this paper
• Zero-Shot Generalization — 6× in this paper · explained in 5 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Normalizing Flow — 2× in this paper · explained in 3 episodes
• Normalizing Flows — 2× in this paper · explained in 4 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• 2D Keypoint Trajectories — 1× in this paper · explained in 1 episode
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• Nadia — 1× in this paper · explained in 2 episodes
• Pseudo-labeling — 1× in this paper · explained in 3 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes

Sources

• Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking
• SIGHT: Synthesizing Image-Text Conditioned and Geometry-Guided 3D Hand-Object Trajectories
• WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild
• Predicting 4D Hand Trajectory from Monocular Videos
• Estimating Body and Hand Motion in an Ego-sensed World
• Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera
• ManiDext: Hand-Object Manipulation Synthesis via Continuous Correspondence Embeddings and Residual-Guided Diffusion
• BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models