awesome-3d-human
github.com/nxsedson/awesome-3d-human ↗A detailed survey on 3D human pose estimation
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SurveyBody ModelsHuman Mesh RecoveryApplicationsDatasetsRelated Topic
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me from single images resources from awesome-3d-human"
Installation instructions →What's inside
Human Mesh Recovery
- 3D Human Mesh Regression with Dense Correspondence.From Single Images
- Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video.From Videos
- Body Meshes as Points.For Multiple Persons
- BodyNet: Volumetric Inference of 3D Human Body Shapes.Beyond Body Models (meshes, voxel, and etc.)
- Coherent Reconstruction of Multiple Humans from a Single Image.For Multiple Persons
- Convolutional Mesh Regression for Single-Image Human Shape Reconstruction.From Single Images
Body Models
- Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
- GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models
- SCAPE: Shape Completion and Animation of People.
- SMPL: A Skinned Multi-Person Linear Model.
- STAR: A Sparse Trained Articulated Human Body Regressor
- UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model
Applications
Showing a sample of 58 resources. View the full list on GitHub →