arXiv (All)
open access
Hand-4DGS: Feed-Forward 3D Gaussian Splatting for 4D Hand Reconstruction from Egocentric Videos
Dynamic 3D hand reconstruction from egocentric videos is essential for next-generation computing platforms such as AR/VR and AI glasses. Despite its importance, most prior works focus either on multi-view 3D hand reconstruction or on 4D human body reconstruction. Egocentric 4D hand reconstruction re
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Learning Transformation-Isomorphic Latent Space for Accurate Hand Pose Estimation#1049619
- 3D Gaussian Splatting with Fisheye Images: Field of View Analysis and Depth-Based Initialization#609811
- OmniHands: Towards Robust 4D Hand Mesh Recovery via A Versatile Transformer#141643
- Grasp in Gaussians: Fast Monocular Reconstruction of Dynamic Hand-Object Interactions#677567
- Grasp in Gaussians: Fast Monocular Reconstruction of Dynamic Hand-Object Interactions#674368
Record · ID 1233895
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive