Comparison on ObMan Dataset
Our approach differs from two baselines (HO[Hasson et al., 19], GF[Karunratanakul et al. 20]) in three main aspects:
1) We formulate hand-held object reconstruction as conditional inference.
2) We additionally use pixel-aligned local features.
3) We predict object in a normalized wrist frame with articulation-aware positional encoding.
Input
Ground Truth
HO
GF
Our Method
Paper
Bibtex
@inproceedings{ye2022hand,
author = {Ye, Yufei
and Gupta, Abhinav
and Tulsiani, Shubham},
title = {What's in your hands?3D Reconstruction of Generic Objects in Hands},
booktitle = {CVPR},
year={2022}
}