Relative Human dataset, CVPR 2022

Last update: Dec 02, 2022

Related tags

Overview

Relative Human (RH) contains multi-person in-the-wild RGB images with rich human annotations, including:

Depth layers (DLs): relative depth relationship/ordering between all people in the image.
Age group classfication: adults, teenagers, kids, babies.
Others: Genders, Bounding box, 2D pose.

RH is introduced in CVPR 2022 paper Putting People in their Place: Monocular Regression of 3D People in Depth.

[Project Page] [Video] [BEV Code]

Download

[Google drive]
[Baidu drive]

Leaderboard

See Leaderboard.

Why do we need RH?

Existing 3D datasets are poor in diversity of age and multi-person scenories. In contrast, RH contains richer subjects with explicit age annotations in the wild. We hope that RH can promote relative research, such as monocular depth reasoning, baby / child pose estimation, and so on.

How to use it?

We provide a toolbox for data loading, visualization, and evaluation.

To run the demo code, please download the data and set the dataset_dir in demo code.

To use it for training, please refer to BEV for details.

Re-implementation

To re-implement RH results (in Tab. 1 of BEV paper), please first download the predictions from here, then

cd Relative_Human/
# BEV / ROMP / CRMH : set the path of downloaded results (.npz) in RH_evaluation/evaluation.py, then run
python -m RH_evaluation.evaluation

cd RH_evaluation/
# 3DMPPE: set the paths in eval_3DMPPE_RH_results.py and then run
python eval_3DMPPE_RH_results.py
# SMAP: set the paths in eval_SMAP_RH_results.py and then run
python eval_SMAP_RH_results.py

Citation

Please cite our paper if you use RH in your research.

@InProceedings{sun2022BEV,
author = {Sun, Yu and Liu, Wu and Bao, Qian and Fu, Yili and Mei, Tao and Black, Michael J},
title = {Putting People in their Place: Monocular Regression of {3D} People in Depth}, 
booktitle = {IEEE/CVF Conf.~on Computer Vision and Pattern Recognition (CVPR)}, 
year = {2022}
}

Releases(Predictions)

Predictions(Mar 26, 2022)

We provide the SOTAs' predictions on RH to re-implement the reported results in Tab. 1 of our paper, Putting People in their Place: Monocular Regression of 3D People in Depth
Source code(tar.gz)
Source code(zip)
all_results.zip(29.15 MB)

The 7th edition of NTIRE: New Trends in Image Restoration and Enhancement workshop will be held on June 2022 in conjunction with CVPR 2022.

NTIRE 2022 - Image Inpainting Challenge Important dates 2022.02.01: Release of train data (input and output images) and validation data (only input) 2

37 Nov 27, 2022

This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations at CVPR'21. According to some product reasons, we are not planning to release the training/testing codes and models. However, we will release the dataset and the scripts to prepare the dataset.

TransFill-Reference-Inpainting This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transf

80 Dec 8, 2022

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

UAV-Human Official repository for CVPR2021: UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicle Paper arXiv Res

129 Jan 4, 2023

Human Action Controller - A human action controller running on different platforms.

Human Action Controller (HAC) Goal A human action controller running on different platforms. Fun Easy-to-use Accurate Anywhere Fun Examples Mouse Cont

27 Jul 20, 2022

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

99 Dec 31, 2022

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

StyleGAN-Human: A Data-Centric Odyssey of Human Generation Abstract: Unconditional human image generation is an important task in vision and graphics,

762 Jan 8, 2023

Repository for the paper "PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation", CVPR 2021.

PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation Code repository for the paper: PoseAug: A Differentiable Pose Augme

328 Dec 17, 2022

This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)

Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression Introduction In this paper, we are interested in the bottom-up paradigm of estima

367 Dec 27, 2022

Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021

TCMR: Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video Qualtitative result Paper teaser video Introduction This r

215 Jan 6, 2023

Relative Human dataset, CVPR 2022

Related tags

Overview

Download

Leaderboard

Why do we need RH?

How to use it?

Re-implementation

Citation

You might also like...

The 7th edition of NTIRE: New Trends in Image Restoration and Enhancement workshop will be held on June 2022 in conjunction with CVPR 2022.

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

Human Action Controller - A human action controller running on different platforms.

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

Repository for the paper "PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation", CVPR 2021.

This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)

Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021

Releases(Predictions)

Predictions(Mar 26, 2022)

Owner

Yu Sun

The 3rd place solution for competition

Keeping it safe - AI Based COVID-19 Tracker using Deep Learning and facial recognition

A public available dataset for road boundary detection in aerial images

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the Machine Learning 4 Health Workshop

EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections

This Repo is the official CUDA implementation of ICCV 2019 Oral paper for CARAFE: Content-Aware ReAssembly of FEatures

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

An implementation of the WHATWG URL Standard in JavaScript

Implementation of "Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner"

PyTorch implementation of the Pose Residual Network (PRN)

This repository compare a selfie with images from identity documents and response if the selfie match.

The codebase for our paper "Generative Occupancy Fields for 3D Surface-Aware Image Synthesis" (NeurIPS 2021)

StyleGAN2-ADA - Official PyTorch implementation

Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images

Lenia - Mathematical Life Forms

Efficiently Disentangle Causal Representations

Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.

Improving XGBoost survival analysis with embeddings and debiased estimators

An OpenAI Gym environment for Super Mario Bros