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DeepHandMesh

DeepHandMesh: A Weakly-Supervised Deep Encoder-Decoder Framework for High-Fidelity Hand Mesh Modeling

Introduction

This repo is official PyTorch implementation of DeepHandMesh: A Weakly-Supervised Deep Encoder-Decoder Framework for High-Fidelity Hand Mesh Modeling (ECCV 2020. Oral.).

Dataset download (Only provide data of subject 4)

* depthmaps.gz: multi-view depth maps
* depthmap frame index.txt: frame index of depthmaps.gz
* 3D scans (decimated).tar.gz: decimated 3D scans
* keypoints.gz: 3D hand joint coordinates
* KRT: camera parameters

Codes and pre-trained models

Go to github.

Results

Effect of Identity- and Pose-Dependent Correctives

Comparison with MANO

Reference

@InProceedings{Moon_2020_ECCV_DeepHandMesh,  
author = {Moon, Gyeongsik and Shiratori, Takaaki and Lee, Kyoung Mu},  
title = {DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling},  
booktitle = {European Conference on Computer Vision (ECCV)},  
year = {2020}  
}