Pixal3D is a TencentARC research project for generating high-fidelity 3D assets from a single input image. It addresses a key weakness in image-to-3D generation: many models produce plausible 3D shapes but fail to preserve pixel-level faithfulness to the original image. Pixal3D improves this by explicitly lifting image features into 3D through back-projection, creating clearer correspondences between the input pixels and the generated asset. The system is designed to produce detailed geometry and physically based rendering textures rather than only coarse 3D approximations. It is useful for researchers, 3D artists, game asset workflows, and generative AI experiments focused on image-conditioned reconstruction. Its main value is combining generative flexibility with reconstruction-like visual fidelity.
Features
- Single-image to 3D asset generation
- Pixel-aligned 2D-to-3D feature lifting
- Detailed geometry generation
- PBR texture output
- Research code for image-conditioned 3D synthesis
- Data toolkit for 3D dataset preparation