V-JEPA Hand: Simple, Accurate and Fast 3D Hand and Camera Trajectory Recovery from Egocentric Videos
Paper • 2610.26780 • Published
This repository contains the model of the paper V-JEPA Hand: Simple, Accurate and Fast 3D Hand and Camera Trajectory Recovery from Egocentric Videos.
V-JEPA Hand jointly reconstructs bilateral 3D hand motion and camera trajectories from egocentric video in a single forward pass.
After installing the inference code and preparing your licensed MANO files:
python demo.py \
--mano-dir /path/to/mano \
--input input.mp4 \
--output output.mp4
The demo automatically downloads these weights and outputs a silent video with hand-mesh overlays: blue for the left hand and orange for the right hand.
See the code repository for installation instructions and the Gradio interface.
model.safetensors: inference weights, including the fine-tuned V-JEPA 2.1 encoder.config.json: model configuration and weight checksum.MANO assets are not included. Obtain them separately from the official MANO website under its license.