I am currently a Senior Researcher at Tencent Hunyuan, leading a research team focused on AI 3D Pipeline Models. Our team is dedicated to reimagining the traditional 3D art pipeline using 3D generative models. Our research primarily covers: Artistic Mesh Generation, Unified 3D Multimodal Models, Auto UV Unwrapping, Auto Animation, etc. Welcome to explore our AI models at Hunyuan3D HomePage or Hunyuan3D Studio.

🔥🔥🔥We are constantly recruiting both full-time members and interns.🔥🔥🔥 If you are seeking any form of academic cooperation, please feel free to contact me via email zhuooochen@tencent.com or WeChat czxytg (To expedite the process, please include basic information, such as your name, school, and research focus.).

🔥 News

  • 2026.02:  🎉🎉 Three papers are accepted by CVPR 2026.
  • 2026.01:  🎉🎉 Three papers are accepted by ICLR 2026.
  • 2025.09:  🎉🎉 Two papers are accepted by NeurIPS 2025.
  • 2025.04:  🎉🎉 One paper is accepted by ICML 2025.
  • 2025.03:  🎉🎉 One paper is accepted by CVPR 2025.
  • 2022.04:  🎉🎉 One paper is accepted by ICML 2022.
  • 2020.03:  🎉🎉 One paper is accepted by CVPR 2020.
  • 2019.11:  🎉🎉 One paper is accepted by AAAI 2020.
  • 2019.03:  🎉🎉 One paper is accepted by CVPR 2019.

📝 Publications

Technical Reports

Technique Report 2025
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Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation

Zhuo Chen is project leader.

Paper | Studio

  • An end-to-end AI-powered content creation platform designed to revolutionize the game production pipeline by automating and streamlining the generation of game-ready 3D assets.
Technique Report 2025
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Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Zhuo Chen is project leader of the studio part.

Project | Paper | Code | Studio

  • An advanced large-scale 3D synthesis system based on VAE & DiT framework for generating high-resolution textured 3D assets.
Technique Report 2024
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Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation

Zhuo Chen is project leader of the Multi-view Generation part.

Project | Paper | Code

  • A two-stage 3D generation approach based on multi-view diffusion and sparse-view reconstruction, that support both text- and image condition.

Papers

CVPR 2026
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Mesh-Pro: Asynchronous Advantage-guided Ranking Preference Optimization for Artist-style Quadrilateral Mesh Generation

Zhuo Chen is project leader.

Paper | Studio

  • A novel 3D-aware RL algorithm named Advantage-guided Ranking Preference Optimization (ARPO).
CVPR 2026
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X-Part: High Fidelity And Structure Coherent Shape Decomposition And Completion

Zhuo Chen is project leader.

Project | Paper | Code | Studio

  • A controllable generative model designed to decompose a holistic 3D object into semantically meaningful and structurally coherent parts with high geometric fidelity.
CVPR 2026
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MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis

Zhuo Chen is project leader.

Paper

  • A unified framework handling multiple material tasks—text-to-material, image-tomaterial, and intrinsic decomposition.
ICLR 2026
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Part-X-MLLM: Part-aware 3D Multimodal Large Language Model

Zhuo Chen is project leader.

Project | Paper | Code | Demo

  • A native 3D multimodal large language model that unifies diverse 3D tasks by formulating them as programs in a structured, executable grammar.
ICLR 2026
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QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models

Zhuo Chen is project leader.

Paper

  • The first autoregressive framework for generating quadrilateral meshes in an end-to-end manner.
ICLR 2026
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ArtUV: Artist-style UV Unwrapping

Zhuo Chen is project leader.

Paper

  • A fully automated, end-to-end method for generating artist-style UV unwrapping.
NeurIPS 2025
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Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization

Zhuo Chen is project leader.

Project | Paper

  • A novel approach for automatic rigging that explicitly preserves skeletal connectivity through a connectivity-preserving tokenization scheme.
NeurIPS 2025
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Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning

Zhuo Chen is project leader.

Project | Paper

  • A novel fine-grained reinforcement finetuning framework that employs Masked Direct Preference Optimization (M-DPO) to enable localized refinement 3D mesh generation.
ICML 2025
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FreeMesh: Boosting Mesh Generation with Coordinates Merging

Zhuo Chen is project leader.

Paper

  • A mathematical framework, PTME, to evaluate existing mesh tokenizers without any training.
CVPR 2025
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BPT: Scaling Mesh Generation via Compressive Tokenization

Project | Paper | Code

  • A compressive yet efficient mesh representation called Blocked and Patchified Tokenization.

💻 Experience

Full time

  • 2023.08 - Present, Hunyuan 3D, Tencent, Senior Researcher, Leader of AI 3D Pipeline Models.
  • 2023.08 - 2024.05, Sensetime, Senior Researcher.
  • 2021.08 - 2023.08, Huawei, Postdoctoral Researcher.

Internship

  • 2020.06 - 2021.08, Huawei, Intern.
  • 2018.04 - 2020.06, Sensetime, Intern.

Educations

  • 2015.09 - 2021.06, Institute of Automation, Chinese Academy of Sciences (CASIA), Master and Ph.D.