Hand-4DGS: Feed-Forward 3D Gaussian Splatting for 4D Hand Reconstruction from Egocentric Videos
Hand-4DGS is a new method that reconstructs dynamic 4D hands directly from egocentric videos using a fast feed-forward 3D Gaussian Splatting approach. It bypasses slow optimization by predicting hand parameters instantly from images. The system uses mesh guidance and temporal features to achieve real-time performance and strong generalization, allowing it to reconstruct hands in new videos without needing extra pose estimation during use.