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EllaPriest45 / Pixal3D
Model's Last Updated: October 08 2026
image-to-3d
Introduction of Pixal3D
Model Details of Pixal3D
Pixal3D: Pixel-Aligned 3D Generation from Images
SIGGRAPH 2026
Dong-Yang Li ¹ · Wang Zhao ²* · Yuxin Chen ² · Wenbo Hu ² · Meng-Hao Guo ¹ · Fang-Lue Zhang ³ · Ying Shan ² · Shi-Min Hu ¹✉
¹Tsinghua University (BNRist) ²Tencent ARC Lab ³Victoria University of Wellington
*Project lead ✉Corresponding author
Pixal3D generates high-fidelity 3D assets from a single image. Unlike previous methods that loosely inject image features via attention, Pixal3D explicitly lifts pixel features into 3D through back-projection, establishing direct pixel-to-3D correspondences. This enables near-reconstruction-level fidelity with detailed geometry and PBR textures.
✨ News
- May 2026 : Release the improved version based on Trellis.2 backbone. 💪
- May 2026 : Release inference code and online demo. 🤗
- Apr 2026 : Our paper is accepted to SIGGRAPH 2026! 🎉
📌 Branches
| Branch | Description |
|---|---|
main
|
Latest version — improved implementation based on Trellis.2 backbone with better performance. |
paper
|
Paper version — original implementation based on Direct3D-S2 , corresponding to results reported in our SIGGRAPH 2026 paper. |
If you want to reproduce the results in our paper, please switch to the
paperbranch.
🎮 Try It Online
You can try Pixal3D directly in your browser without any installation via our Hugging Face Gradio demo:
🚀 Getting Started
Installation
Step 1: Follow TRELLIS.2 Installation
Please first follow the installation guide of TRELLIS.2 to set up the base environment.
Step 2: Install Additional Dependencies
pip install -r requirements.txt
Step 3: Install utils3d
pip install https://github.com/LDYang694/Storages/releases/download/20260430/utils3d-0.0.2-py3-none-any.whl
Usage
Inference
Generate a GLB mesh from a single image:
python inference.py --image assets/test_image/0.png --output ./output.glb
Web Demo
We provide a Gradio web demo for Pixal3D, which allows you to generate 3D meshes from images interactively.
python app.py
🤗 Acknowledgements
This project is heavily built upon Trellis.2 and Direct3D-S2 . We also thank the following repos for their great contributions: Trellis .
📄 Citation
If you find this work useful, please consider citing:
@article{li2026pixal3d,
title = {Pixal3D: Pixel-Aligned 3D Generation from Images},
author = {Li, Dong-Yang and Zhao, Wang and Chen, Yuxin and Hu, Wenbo and Guo, Meng-Hao and Zhang, Fang-Lue and Shan, Ying and Hu, Shi-Min},
journal = {arXiv preprint arXiv:2605.10922},
year = {2026}
}
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