TencentARC/Pixal3D

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

2156 stars · 211 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Pixal3D is a research codebase for generating high-fidelity 3D assets from a single image using a pixel-aligned generation paradigm that back-projects image features into 3D. It is a SIGGRAPH 2026 paper implementation from Tsinghua University and Tencent ARC Lab, built on the TRELLIS.2 backbone, with inference code, training code, and an online Gradio demo.

Use cases

• generate a 3D model from a single photo
• create PBR-textured 3D assets for games from images
• reconstruct high-fidelity geometry matching an input image
• generate multi-view consistent 3D assets
• produce object-separated 3D scenes from images
• reproduce SIGGRAPH 2026 image-to-3D research results
• run image-to-3D generation in a browser demo

When to choose

• you need pixel-level fidelity between the input image and the generated 3D asset
• you want detailed geometry with PBR textures from a single image
• you need multi-view or scene-level 3D generation from images
• you want to build on or study a state-of-the-art image-to-3D method with training code available

When to avoid

• you need a lightweight tool without GPU requirements
• you want a production-ready end-user application rather than research code
• you need text-to-3D generation rather than image-to-3D
• you cannot install the TRELLIS.2 dependency stack

Facets

library · maturity active

machine-learning deep-learning image-processing graphics simulation computer-vision graphics artificial-intelligence python image-to-3d 3d-generation pixel-aligned pbr-textures siggraph-2026 gradio-demo trellis multi-view-generation 3d-assets research-code game-development gpu linux web-server

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