Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Last update: Dec 24, 2022

Overview

Human Pose Regression with Residual Log-likelihood Estimation

[Paper] [arXiv] [Project Page]

Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu
ICCV 2021 Oral

Regression with Residual Log-likelihood Estimation

TODO

Provide minimal implementation of RLE loss.
Provide implementation on Human3.6M dataset.
Provide implementation on COCO dataset.

Installation

Install pytorch >= 1.1.0 following official instruction.
Install rlepose:

pip install cython
python setup.py develop

Install COCOAPI.

pip install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'

Init data directory:

mkdir data

Download COCO data:

|-- data
`-- |-- coco
    `-- |-- annotations
        |   |-- person_keypoints_train2017.json
        |   `-- person_keypoints_val2017.json
        `-- images
            |-- train2017
            |   |-- 000000000009.jpg
            |   |-- 000000000025.jpg
            |   |-- 000000000030.jpg
            |   |-- ... 
            `-- val2017
                |-- 000000000139.jpg
                |-- 000000000285.jpg
                |-- 000000000632.jpg
                |-- ...

Train from scratch

./scripts/train.sh ./configs/256x192_res50_regress-flow.yaml train_rle

Evaluation

Download the pretrained model from Google Drive.

./scripts/validate.sh ./configs/256x192_res50_regress-flow.yaml ./coco-laplace-rle.pth

Citing

If our code helps your research, please consider citing the following paper:

@inproceedings{li2021human,
    title={Human Pose Regression with Residual Log-likelihood Estimation},
    author={Li, Jiefeng and Bian, Siyuan and Zeng, Ailing and Wang, Can and Pang, Bo and Liu, Wentao and Lu, Cewu},
    booktitle={ICCV},
    year={2021}
}

Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Related tags

Overview

Human Pose Regression with Residual Log-likelihood Estimation

TODO

Installation

Train from scratch

Evaluation

Citing

Owner

JeffLi

[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression

Code for the Shortformer model, from the paper by Ofir Press, Noah A. Smith and Mike Lewis.

Manage the availability of workspaces within Frappe/ ERPNext (sidebar) based on user-roles

Anonymize BLM Protest Images

DualGAN-tensorflow: tensorflow implementation of DualGAN

A PyTorch implementation of the baseline method in Panoptic Narrative Grounding (ICCV 2021 Oral)

Code for Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation (CVPR 2021)

multimodal transformer

An OpenAI-Gym Package for Training and Testing Reinforcement Learning algorithms with OpenSim Models

🌈 PyTorch Implementation for EMNLP'21 Findings "Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer"

A GridMixup augmentation, inspired by GridMask and CutMix

A Pytree Module system for Deep Learning in JAX

Code for Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022)

Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate

Deep ViT Features as Dense Visual Descriptors

Normalizing Flows with a resampled base distribution

Python scripts performing class agnostic object localization using the Object Localization Network model in ONNX.

Lab course materials for IEMBA 8/9 course "Coding and Artificial Intelligence"

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

Feature extraction made simple with torchextractor