YuliangXiu/ECON
CVPR 2023 paper implementing a neural network-based system for reconstructing 3D clothed human models from single images.
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ECON (Explicit Clothed humans Optimized via Normal integration) is a computer vision research project that reconstructs full 3D human meshes with clothing from monocular images. It leverages deep learning with PyTorch, builds on SMPL/SMPLX body models, and uses pixel implicit function (PIFu) approaches combined with normal map integration to produce detailed avatar geometry suitable for virtual reality, digital twins, and metaverse applications.
Frequently asked
- What is YuliangXiu/ECON?
- CVPR 2023 paper implementing a neural network-based system for reconstructing 3D clothed human models from single images.
- Is ECON open source?
- Yes — YuliangXiu/ECON is an open-source project tracked on heatdrop.
- What language is ECON written in?
- YuliangXiu/ECON is primarily written in Python.
- How popular is ECON?
- YuliangXiu/ECON has 1.2k stars on GitHub.
- Where can I find ECON?
- YuliangXiu/ECON is on GitHub at https://github.com/YuliangXiu/ECON.