XingangPan/GAN2Shape
Code for GAN2Shape (ICLR2021 oral)
This project helps researchers and artists automatically reconstruct the 3D shape of objects from 2D images created by Generative Adversarial Networks (GANs). You provide a 2D image from a GAN, and it outputs a 3D model, allowing for object rotation and relighting effects. This tool is ideal for those working with synthetic image generation and 3D visualization without needing manual annotations or external 3D models.
576 stars. No commits in the last 6 months.
Use this if you need to extract 3D shape information from 2D GAN-generated images, like faces or cars, for further visualization or analysis without manual 3D modeling.
Not ideal if you are working with real-world photographs or require extremely precise, high-fidelity 3D scans for engineering or medical applications.
Stars
576
Forks
99
Language
Python
License
MIT
Category
Last pushed
Jul 04, 2023
Commits (30d)
0
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