4D-HOF: Hand-Object Flow Matching for Feed-Forward 4D Interaction Reconstruction
cs.CV, cs.AI, cs.GR
Submitted: 2026-10-06
Updated: 2026-10-06
Code: https://github.com/microsoft/MoGe
Project page: https://tamu-visual-ai.github.io/4D-HOF
Terminology
Sources
- GHOST: Fast Category-agnostic Hand-Object Interaction Reconstruction from RGB Videos using Gaussian Splatting
- Grasp in Gaussians: Fast Monocular Reconstruction of Dynamic Hand-Object Interactions
- ForeHOI: Feed-forward 3D Object Reconstruction from Daily Hand-Object Interaction Videos
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- Zero-shot Reconstruction of In-Scene Object Manipulation from Video
- Depth Anything 3: Recovering the Visual Space from Any Views
- Flow Matching for Generative Modeling
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- Let us Build Bridges: Understanding and Extending Diffusion Generative Models
- GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
- AgentSTAR: Agentic Shape Tracking and Reconstruction from Monocular Videos
- DINOv2: Learning Robust Visual Features without Supervision
- Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
- Embodied Hands: Modeling and Capturing Hands and Bodies Together
- HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction
- ArtHOI: Taming Foundation Models for Monocular 4D Reconstruction of Hand-Articulated-Object Interactions
- AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis
- Open-CHOIR: Open-World Contact-Aware 4D Hand-Object Interaction Reconstruction
- WHOLE: World-Grounded Hand-Object Lifted from Egocentric Videos
- Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
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