A collection of resources on Human Body.

**Here is the Paper Name.**<br>
*[Author 1](homepage), Author 2, and Author 3. organization*<br>
Conference or Journal Year. [[PDF](link)] [[Project](link)] [[Github](link)] [[Video](link)] [[Data](link)]
*Contributor*

• Body Model
• Body Motion
• Cloth
• Animation
• Neural Rendering
• Reconstruction
• Dataset

C3P: Cross-domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation.
Cunlin Wu, Yang Xiao, Boshen Zhang, Mingyang Zhang, Zhiguo Cao, and Joey Tianyi Zhou. Huazhong University of Science and Technology
ECCV 2022. [PDF]
hyh

Learning Implicit Templates for Point-Based Clothed Human Modeling.
Siyou Lin, Hongwen Zhang, and Yebin Liu. Tsinghua University
ECCV 2022. [PDF] [Project] [Github]
wzx

3D Clothed Human Reconstruction in the Wild.
Gyeongsik Moon, Hyeongjin Nam, and Kyoung Mu Lee.Meta Reality Labs Research
ECCV 2022. [PDF] [Github]
wzx: 从单张in-the-wild图像完成穿衣人体的重建，使用cloth generatative model和regressor编码隐式衣服生成空间，并引入DensePose Loss对齐2D语义和3D

Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering.
Mingfei Chen, Jianfeng Zhang, and Shuicheng Yan. Sea AI Lab
ECCV 2022. [PDF] [Github]
wzx

AIST++ Dance Motion Dataset
Publications：AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
Project： https://google.github.io/aistplusplus_dataset/factsfigures.html
Description: The AIST++ Dance Motion Dataset is constructed from the AIST Dance Video DB. With multi-view videos, an elaborate pipeline is designed to estimate the camera parameters, 3D human keypoints and 3D human dance motion sequences

DeepFashion2
Publications：AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
Project： https://github.com/switchablenorms/DeepFashion2
Description: DeepFashion2 is a comprehensive fashion dataset. It contains 491K diverse images of 13 popular clothing categories from both commercial shopping stores and consumers. It totally has 801K clothing clothing items, where each item in an image is labeled with scale, occlusion, zoom-in, viewpoint, category, style, bounding box, dense landmarks and per-pixel mask.There are also 873K Commercial-Consumer clothes pairs.