Chong Zeng

Incoming CS PhD Student

Stanford University

Profile photo of Chong Zeng

Biography

I'm an incoming PhD student at Stanford University. Before that, I received my master's degree and bachelor's degree at Zhejiang University, supervised by Prof. Hongzhi Wu. During my master, I'm fortunate to work closely with Dr. Yue Dong, Dr. Xin Tong and Prof. Pieter Peers as a research intern at Microsoft Research Asia and with Prof. Hao Su as a visiting graduate at UC San Diego.

My primary research interest lies in Computer Graphics, with a particular focus on creating high-quality 3D object assets for rendering, with applications spanning in gaming, social media content creation, and visual effects production. My previous work has centered on reconstructing and generating the appearance and geometry of these assets through data-driven methods.

Recent News

  • [2025.03] One paper accepted by SIGGRAPH 2025! Stay tuned for more updates!

Publications

Featured publications are highlighted.

Next-Generation Graphics Pipeline

Publication teaser for RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination

RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination

Chong Zeng, Yue Dong, Pieter Peers, Hongzhi Wu, Xin Tong

SIGGRAPH, 2025

A fully neural rendering pipeline for triangle meshes with global illumination, replacing traditional renderers with a transformer.

Object Shape and Appearance Generation

Publication teaser for DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation

DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation

Chong Zeng, Yue Dong, Pieter Peers, Youkang Kong, Hongzhi Wu, Xin Tong

SIGGRAPH, 2024

A novel method for exerting fine-grained lighting control during text-driven diffusion-based image generation.

Publication teaser for MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction ModelPublication teaser for MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model

MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model

Minghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su

NeurIPS (Oral Presentation), 2024

3D native designs enable high-quality reconstruction from multi-view images for 3D object generation.

Publication teaser for One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

Minghua Liu, Ruoxi Shi, Linghao Chen, Zhuoyang Zhang, Chao Xu, Xinyue Wei, Hansheng Chen, Chong Zeng, Jiayuan Gu, Hao Su

CVPR, 2024

Single image to detailed 3D textured mesh in ~1 minute.

Publication teaser for Zero123++: A Single Image to Consistent Multi-view Diffusion Base Model

Zero123++: A Single Image to Consistent Multi-view Diffusion Base Model

Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, Hao Su

arXiv, 2023

An image-conditioned diffusion model for generating 3D-consistent multi-view images from a single input view.

Object Shape and Appearance Modeling / Capturing

Publication teaser for GS^3: Efficient Relighting with Triple Gaussian Splatting

GS^3: Efficient Relighting with Triple Gaussian Splatting

Zoubin Bi, Yixin Zeng, Chong Zeng, Fan Pei, Xiang Feng, Kun Zhou, Hongzhi Wu

SIGGRAPH Asia, 2024

Relightable Gaussian splatting representation for real-time & high-quality relighting.

Publication teaser for NRHints: Relighting Neural Radiance Fields with Shadow and Highlight Hints

NRHints: Relighting Neural Radiance Fields with Shadow and Highlight Hints

Chong Zeng, Guojun Chen, Yue Dong, Pieter Peers, Hongzhi Wu, Xin Tong

SIGGRAPH, 2023

Relightable neural radiance field that models full light transport effects, with shadow and highlight hints helping with high-frequency effects.

Publication teaser for A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance

A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance

Xianmin Xu, Yuxin Lin, Haoyang Zhou, Chong Zeng, Yaxin Yu, Kun Zhou, Hongzhi Wu

CVPR, 2023

A unified structured light for high-quality acquisition of both shape and reflectance from a single view.

Publication teaser for DiFT: Differentiable Differential Feature Transform for Multi-View Stereo

DiFT: Differentiable Differential Feature Transform for Multi-View Stereo

Kaizhang Kang, Chong Zeng, Hongzhi Wu, Kun Zhou

arXiv, 2022

Transform the differential cues from a stack of images into spatially discriminative and view-invariant per-pixel features for MVS.

Performance Optimization

Publication teaser for Critique of 'productivity, Portability, Performance: Data-Centric Python' by SCC Team From Zhejiang University

Critique of 'productivity, Portability, Performance: Data-Centric Python' by SCC Team From Zhejiang University

Zihan Yang, Yi Chen, Kaiqi Chen, Xingjian Qian, Shaojun Xu, Yun Pan, Chong Zeng, Jianhai Chen, Yin Zhang, Zeke Wang

TPDS, 2023

Reproduce CPU / GPU / distributed computing performance of DaCe (Data-Centric Python) on Azure.

Publication teaser for Calculation and optimization of correlation function in distillation method of lattice quantum chromodynamcis (in Chinese)

Calculation and optimization of correlation function in distillation method of lattice quantum chromodynamcis (in Chinese)

Ren-Qiang Zhang, Xiang-Yu Jiang, Yu Jiong-Chi, Chong Zeng, Ming Gong, Shun Xu

Acta Physica Sinica, 2021

Accelerate lattice quantum chromodynamcis calculation using MPI, OpenMP, and SIMD.

Engineering Projects

ZJU Mirror project screenshot

ZJU Mirror

Project Leader

ZJU's new open source software mirror site. I worked as the project leader, and also participated in front-end development and all back-end manager development.

ZJU Git project screenshot

ZJU Git

Project Leader

ZJU's new Git service. I worked as the project leader, helped deploy and maintain this platform for all students and faculty in ZJU.

Education & Experience

UC San Diego logo

Visiting Graduate

UC San Diego, Nov 2023 - Apr 2024

  • 3D Digital Object Asset Generation
Microsoft Research Asia logo

Research Intern

Microsoft Research Asia, Oct 2022 - June 2023

  • Neural Relighting Research with NeRF Scene Representation and Diffusion Models
State Key Lab of CAD&CG, Zhejiang University logo

Research Assistant

State Key Lab of CAD&CG, Zhejiang University, March 2021 - July 2022

  • Differentiable Appearance and Geometry Acquisition
Microsoft Research Asia logo

Research Intern

Microsoft Research Asia, July 2021 - Oct 2021

  • Performance Acceleration for Large Scale Real-Time Graphics Super-Resolution Neural Networks

Academic Service

Conference Reviewer

  • SIGGRAPH
  • SIGGRAPH Asia
  • Eurographics
  • NeurIPS
  • ICLR
  • ICML
  • CVPR
  • ECCV

Journal Reviewer

  • ACM TOG
  • IEEE TVCG
  • IEEE TPAMI