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

Last update: Jan 07, 2023

Related tags

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.

GitHub Repository

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World [ACL 2021]

piglet PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World [ACL 2021] This repo contains code and data for PIGLeT. If you like

51 Oct 08, 2022

Code for EMNLP 2021 paper Contrastive Out-of-Distribution Detection for Pretrained Transformers.

Contra-OOD Code for EMNLP 2021 paper Contrastive Out-of-Distribution Detection for Pretrained Transformers. Requirements PyTorch Transformers datasets

27 Oct 28, 2022

v objective diffusion inference code for JAX.

v-diffusion-jax v objective diffusion inference code for JAX, by Katherine Crowson (@RiversHaveWings) and Chainbreakers AI (@jd_pressman). The models

186 Dec 21, 2022

Reimplementation of NeurIPS'19: "Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting" by Shu et al.

[Re] Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting Reimplementation of NeurIPS'19: "Meta-Weight-Net: Learning an Explicit Mapping

1 Mar 13, 2020

Use unsupervised and supervised learning to predict stocks

AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n

1.5k Dec 26, 2022

Jittor Medical Segmentation Lib -- The assignment of Pattern Recognition course (2021 Spring) in Tsinghua University

THU模式识别2021春 -- Jittor 医学图像分割模型列表本仓库收录了课程作业中同学们采用jittor框架实现的如下模型： UNet SegNet DeepLab V2 DANet EANet HarDNet及其改动HarDNet_alter PSPNet OCNet OCRNet DL

48 Dec 26, 2022

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

PortaSpeech - PyTorch Implementation PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech. Model Size Module Nor

279 Jan 04, 2023

Per-Pixel Classification is Not All You Need for Semantic Segmentation

MaskFormer: Per-Pixel Classification is Not All You Need for Semantic Segmentation Bowen Cheng, Alexander G. Schwing, Alexander Kirillov [arXiv] [Proj

1k Jan 08, 2023

Some bravo or inspiring research works on the topic of curriculum learning.

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtu

131 Jan 07, 2023

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

Prompt-Tuning Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" Currently, we support the following huggigface models: Bart

36 Dec 19, 2022

Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation

Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation [Arxiv] [Video] Evaluation code for Unrestricted Facial Geometry Reconstr

242 Dec 30, 2022

An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities.

Playground for CLIP-like models Demo Colab Link GradCAM Visualization Naive Zero-shot Detection Smarter Zero-shot Detection Captcha Solver Changelog 2

101 Dec 30, 2022

This is the official PyTorch implementation of our paper: "Artistic Style Transfer with Internal-external Learning and Contrastive Learning".

Artistic Style Transfer with Internal-external Learning and Contrastive Learning This is the official PyTorch implementation of our paper: "Artistic S

51 Dec 20, 2022

Source Code for AAAI 2022 paper "Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching"

Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching This repository is an official implementation of

13 Sep 08, 2022