GAP-LAB-CUHK-SZ/deepFashion3D
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images (ECCV2020)
This project provides a comprehensive dataset of 3D garment models, complete with detailed feature lines and textures, derived from single images. It offers high-resolution point clouds and registered meshes for various clothing types and poses. Fashion designers, virtual try-on developers, and apparel manufacturers can use this to create realistic digital clothing models.
228 stars. No commits in the last 6 months.
Use this if you need a rich, annotated dataset of 3D garments to develop or test virtual try-on applications, digital fashion design tools, or realistic clothing simulations.
Not ideal if you are looking for a tool that automates the 3D reconstruction process directly from your own images, as this project provides a dataset rather than an end-user application.
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Jan 16, 2024
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