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+ Tencent is pleased to support the community by making Pixal3D available.
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+ Copyright (C) 2026 Tencent. All rights reserved.
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+ The open-source software and/or models included in this distribution may have been modified by Tencent (“Tencent Modifications”). All Tencent Modifications are Copyright (C) Tencent.
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+ Pixal3D is licensed under License Term of Pixal3D, except for the third-party components listed below, which remain licensed under their respective original terms. Pixal3D does not impose any additional restrictions beyond those specified in the original licenses of these third-party components. Users are required to comply with all applicable terms and conditions of the original licenses and to ensure that the use of these third-party components conforms to all relevant laws and regulations.
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+ For the avoidance of doubt, Pixal3D refers solely to inference code, parameters, and weights made publicly available by Tencent in accordance with License Term of Pixal3D.
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+ Terms of License Term of Pixal3D:
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+ --------------------------------------------------------------------
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+ Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, and /or sublicense copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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+ - You agree to use the Pixal3D only for academic purposes, and refrain from using it for any commercial or production purposes under any circumstances.
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+ - Pixal3D IS NOT INTENDED FOR USE WITHIN THE EUROPEAN UNION. IN THE EVENT OF ANY CONFLICT, THIS CLAUSE SHALL PREVAIL.
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+ - The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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+ Dependencies and Licenses:
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+ This open-source project builds upon the following open-source models and/or software components, each of which remains licensed under its original license.
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+ In case you believe there have been errors in the attribution below, you may submit the concerns to us for review and correction.
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+ Open Model Licensed under the Apache-2.0:
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+ --------------------------------------------------------------------
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+ 1. dinov2
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+ Copyright (c) 2025 dinov2 original author and authors
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+ Open Source Software Licensed under the MIT License:
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+ --------------------------------------------------------------------
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+ 2. TRELLIS.2
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+ Copyright (c) Microsoft Corporation.
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+ 3. Direct3D-S2
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README.md CHANGED
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  ---
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- license: mit
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: other
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+ license_name: pixal3d-license
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+ license_link: LICENSE
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+ extra_gated_eu_disallowed: true
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  ---
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+
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+ <div align="center">
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+
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+ # Pixal3D: Pixel-Aligned 3D Generation from Images
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+ <h3>SIGGRAPH 2026</h3>
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+ [Dong-Yang Li](https://ldyang694.github.io/)¹ · [Wang Zhao](https://thuzhaowang.github.io/)²* · [Yuxin Chen](https://orcid.org/0000-0002-7854-1072)² · [Wenbo Hu](https://wbhu.github.io/)² · [Meng-Hao Guo](https://menghaoguo.github.io/)¹ · [Fang-Lue Zhang](https://fanglue.github.io/)³ · [Ying Shan](https://www.linkedin.com/in/YingShanProfile)² · [Shi-Min Hu](https://cg.cs.tsinghua.edu.cn/shimin.htm)¹✉
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+ ¹Tsinghua University (BNRist) &nbsp;&nbsp; ²Tencent ARC Lab &nbsp;&nbsp; ³Victoria University of Wellington
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+ *Project lead &nbsp;&nbsp; ✉Corresponding author
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+
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+ </div>
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+
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+ <div align="center">
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+ <a href="https://ldyang694.github.io/projects/pixal3d/"><img src=https://img.shields.io/badge/Project%20Page-333399.svg?logo=googlehome height=22px></a>
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+ <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>
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+ <a href="https://huggingface.co/TencentARC/Pixal3D"><img src=https://img.shields.io/badge/%F0%9F%A4%97%20Models-d96902.svg height=22px></a>
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+ <a href="https://arxiv.org/abs/2605.10922"><img src=https://img.shields.io/badge/Arxiv-b5212f.svg?logo=arxiv height=22px></a>
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+ </div>
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+
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+ <div align="center">
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+ <img src="assets/teaser.png" alt="Teaser image of Pixal3D"/>
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+ </div>
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+
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+ **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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+
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+ ---
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+
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+ ## ✨ News
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+
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+ - **May 2026**: Release the improved version based on [Trellis.2](https://github.com/microsoft/TRELLIS.2) backbone. 💪
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+ - **May 2026**: Release inference code and online demo. 🤗
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+ - **Apr 2026**: Our paper is accepted to SIGGRAPH 2026! 🎉
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+
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+ ## 📌 Branches
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+
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+ | Branch | Description |
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+ |--------|-------------|
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+ | `main` | **Latest version** — improved implementation based on [Trellis.2](https://github.com/microsoft/TRELLIS.2) backbone with better performance. |
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+ | `paper` | **Paper version** — original implementation based on [Direct3D-S2](https://github.com/DreamTechAI/Direct3D-S2), corresponding to results reported in our SIGGRAPH 2026 paper. |
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+
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+ > If you want to reproduce the results in our paper, please switch to the `paper` branch.
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+
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+ ## 🎮 Try It Online
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+ You can try Pixal3D directly in your browser without any installation via our Hugging Face Gradio demo:
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+ 👉 [**Launch Demo**](https://huggingface.co/spaces/TencentARC/Pixal3D)
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+
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+ ## 🚀 Getting Started
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+
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+ ### Installation
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+
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+ #### Step 1: Follow TRELLIS.2 Installation
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+
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+ Please first follow the installation guide of [TRELLIS.2](https://github.com/microsoft/TRELLIS.2) to set up the base environment.
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+
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+ #### Step 2: Install Additional Dependencies
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+
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+ ```bash
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+ pip install -r requirements.txt
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+ ```
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+
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+ #### Step 3: Install utils3d
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+
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+ ```bash
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+ pip install https://github.com/LDYang694/Storages/releases/download/20260430/utils3d-0.0.2-py3-none-any.whl
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+ ```
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+
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+ > **Note**: `requirements-hfdemo.txt` is for the Hugging Face Spaces demo (H-series GPU architecture) and may not be compatible with other architectures.
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+
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+ ### Usage
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+
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+ #### Inference
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+
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+ Generate a GLB mesh from a single image:
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+
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+ ```bash
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+ python inference.py --image assets/test_image/0.png --output ./output.glb
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+ ```
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+
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+ ### Web Demo
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+
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+ We provide a Gradio web demo for Pixal3D, which allows you to generate 3D meshes from images interactively.
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+
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+ ```bash
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+ python app.py
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+ ```
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+
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+ ## 🤗 Acknowledgements
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+
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+ This project is heavily built upon [Trellis.2](https://github.com/microsoft/TRELLIS.2) and [Direct3D-S2](https://github.com/DreamTechAI/Direct3D-S2). We sincerely thank the authors for their outstanding work on scalable 3D generation , which serves as the foundation of our codebase and model architecture.
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+
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+ We also thank the following repos for their great contributions:
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+
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+ - [Direct3D-S2](https://github.com/DreamTechAI/Direct3D-S2)
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+ - [Trellis](https://github.com/microsoft/TRELLIS)
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+ - [Trellis.2](https://github.com/microsoft/TRELLIS.2)
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+
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+ ## 📄 Citation
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+
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+ If you find this work useful, please consider citing:
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+
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+ ```bibtex
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+ @article{li2026pixal3d,
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+ title = {Pixal3D: Pixel-Aligned 3D Generation from Images},
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+ 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},
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+ year = {2026}
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+ }
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+ ```
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+
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+