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

Last update: Jan 07, 2023

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Deep Learning DynaBOA

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

Todo

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

Owner

Use this account to share code.

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