Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

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Deep LearningDynaBOA
Overview

DynaBOA

Code repositoty for the paper:

Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

Shanyan Guan, Jingwei Xu, Michelle Z. He, Yunbo Wang, Bingbing Ni, Xiaokang Yang

[Paper] [Project Page]

Get Started

DynaBOA has been implemneted and tested on Ubuntu 18.04 with python = 3.6.

Clone this repo:

git clone https://github.com/syguan96/DynaBOA.git

Install the requirements using miniconda:

conda env create -f dynaboa-env.yaml

Download required file from this link. Then unzip the file and move rename to data folder.

Running on the 3DPW

bash run_on_3dpw.sh

Results on 3DPW

Method Protocol PA-MPJPE MPJPE PVE
SPIN #PS 59.2 96.9 135.1
PARE #PS 46.4 79.1 94.2
Mesh Graphormer #PS 45.6 74.7 87.7
DynaBOA (Ours) #PS 40.4 65.5 82.0

qualitative results

Todo

  • DynaBOA for MPI-INF-3DHP and SURREAL
  • DynaBOA for the internet data.
Owner
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