Chong Zeng
I'm a master student majoring Computer Science and Technology 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 . Before that,
I received my bachelor's degree at
College of Computer Science and Technology, ZJU.
My primary research interest lies in Computer Graphics, with a particular focus
on creating high-quality 3D object assets for rendering . My
previous work has centered on reconstructing and generating the appearance and
geometry of these assets through data-driven methods.
I will finish my master in spring 2025, and I'm actively looking for PhD
positions in fall 2025. Please contact me if you're interested!
Email /
Scholar
/
Twitter /
Github /
LinkedIn
Photo
taken at Griffith
Observatory in 2023
Research
Representative papers are highlighted .
Object Shape and Appearance Generation
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DiLightNet: Fine-grained Lighting Control for
Diffusion-based Image Generation
Chong Zeng ,
Yue Dong ,
Pieter Peers ,
Youkang Kong ,
Hongzhi Wu ,
Xin Tong
SIGGRAPH , 2024
project page
/
arXiv
/
code
/
model
/
demo
A novel method for exerting fine-grained lighting control during text-driven
diffusion-based image generation.
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
*: Equal Contribution
NeurIPS , 2024 (Oral)
project page
/
arXiv
/
demo
3D native designs enable high-quality reconstruction from multi-view images for
3D object generation.
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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
* : Equal Contribution
CVPR , 2024
project page
/
arXiv
/
demo
Single image to detailed 3D textured mesh in ~1 minute.
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
arXiv
/
code
/
demo
An image-conditioned diffusion model for generating 3D-consistent multi-view
images from a single input view.
Object Shape and Appearance Modeling / Capturing
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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
project page
/
code
/
data
/
arXiv
Relightable Gaussian splatting representation for real-time & high-quality
relighting.
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NRHints: Relighting Neural Radiance Fields with Shadow
and
Highlight Hints
Chong Zeng ,
Guojun Chen ,
Yue Dong ,
Pieter Peers ,
Hongzhi Wu ,
Xin Tong
SIGGRAPH , 2023
project page
/
code
/
arXiv
/
video
/
presentation
Relightable neural radiance field that models full light transport effects, with
shadow and highlight hints helping with high-frequency effects.
Your browser does not support the video tag.
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
* : Equal Contribution
CVPR , 2023
project
page
/
pdf
/
video
/
presentation
A unified structured light for high-quality acquisition of both shape and
reflectance from a single view.
DiFT: Differentiable Differential Feature Transform for
Multi-View Stereo
Kaizhang Kang ,
Chong Zeng ,
Hongzhi Wu ,
Kun Zhou
arXiv , 2022
arXiv
Transform the differential cues from a stack of images into spatially
discriminative and view-invariant per-pixel features for MVS.
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*
†: Served as an Advisor
TPDS , 2023
doi
Reproduce CPU / GPU / distributed computing performance of DaCe (Data-Centric
Python) on Azure.
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 , 70, 161201 (2021)
doi
Accelerate lattice quantum chromodynamcis calculation using MPI, OpenMP, and
SIMD.
Service
Conference Reviewer: SIGGRAPH, SIGGRAPH Asia, NeurIPS, ECCV
Journal Reviewer: ACM TOG, IEEE TVCG, IEEE TPAMI
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Barron .
Last updated: 2024-10-28