Pixal3D

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Pixal3D: Pixel-Aligned 3D Generation from Images

<h3>SIGGRAPH 2026</h3>

Dong-Yang Li¹ · Wang Zhao²* · Yuxin Chen² · Wenbo Hu² · Meng-Hao Guo¹ · Fang-Lue Zhang³ · Ying Shan² · Shi-Min Hu¹✉

¹Tsinghua University (BNRist)    ²Tencent ARC Lab    ³Victoria University of Wellington

*Project lead    ✉Corresponding author

</div> <div align="center"> <a href="https://ldyang694.github.io/projects/pixal3d/"><img src=https://img.shields.io/badge/Project%20Page-333399.svg?logo=googlehome height=22px></a> <a href="https://huggingface.co/spaces/TencentARC/Pixal3D"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Demo-276cb4.svg height=22px></a> <a href="https://github.com/TencentARC/Pixal3D"><img src=https://img.shields.io/badge/Code-Github-black.svg?logo=github height=22px></a> <a href="https://arxiv.org/abs/2605.10922"><img src=https://img.shields.io/badge/Arxiv-b5212f.svg?logo=arxiv height=22px></a> </div>

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.

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✨ 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

If you want to reproduce the results in our paper, please switch to the paper branch.

🎮 Try It Online

You can try Pixal3D directly in your browser without any installation via our Hugging Face Gradio demo:

👉 Launch 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}
}