Dingxi Zhang
Hi!! I'm Dingxi (Kristen) Zhang, a Master's student in Computer Science at ETH Zurich.
My research focuses on 3D vision, computer graphics, and generative models.
Currently, I am working on research projects in Computer Vision and Geometry Group led by Prof. Marc Pollefeys.
Previously, I completed my undergraduate studies at the University of Chinese Academy of Sciences,
where I worked with Prof. Lin Gao and
Prof. Shiguang Shan at the Institute of
Computing Technology, Chinese Academy of Sciences.
In my spare time, I love playing basketball, skiing, strumming the guitar, and constructing some
Lego creations.
I'm actively seeking PhD positions this cycle.
Email
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CV /
Github /
Google Scholar /
Linkedln
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Research
My research interests are 3D vision, graphics and machine learning.
Specifically, my current focus centers on developing efficient neural representations and devising
user-friendly and effective methods for interacting with 3D objects and scenes.
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StylizedGS: Controllable Stylization for 3D Gaussian Splatting
Dingxi Zhang,
Yu-Jie Yuan,
Zhuoxun Chen,
Fang-Lue Zhang,
Zhenliang He,
Shiguang Shan,
Lin Gao*
TPAMI, 2025
paper / project / code
A 3D neural style transfer framework with adaptable control over perceptual factors based on 3D
Gaussian Splatting representation.
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GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities
Rao Fu*,
Dingxi Zhang*,
Alex Jiang,
Wanjia Fu,
Austin Funk,
Daniel Ritchie,
Srinath Sridhar
CVPR, 2025 (Highlight)
paper / project / code
A massive annotated dataset capturing 34 hours of bimanual hand activities, totaling 14k motion
clips derived from 183 million frames paired with 84k text annotations.
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Advancing Object Goal Navigation Through LLM-enhanced Object Affinities
Transfer
Mengying Lin,
Shugao Liu,
Dingxi Zhang,
Yaran Chen*,
Haoran Liu,
Dongbin Zhao,
IROS, 2025
paper
A novel approach in robot navigation combines LLMs with traditional methods.
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StrokeFaceNeRF: Stroke-based Facial Appearance Editing in Neural Radiance
Field
Xiao-Juan Li,
Dingxi Zhang,
Shu-Yu Chen,
Feng-Lin Liu,
CVPR, 2024
paper
A novel stroke-based method for editing facial NeRF appearance. Our method outperforms existing 2D
and 3D methods in both editing
reality and geometry retention.
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Towards Efficient 3D Local Conditioning
Dingxi Zhang,
Artem Lukoianov
SIGGRAPH Asia, 2023
paper
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code
Using an weight-encoded Neural Network to approximate a grid of latent codes, while sharing the
decoder across the entire
category to achieve better reconstruction quality while using less memory per sample to store single
geometry.
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Huawei, Switerland
Research Intern
Advisor: Dr. Fan Li
Jul 2025 - Present
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VAST, Beijing
Research Intern
Advisor: Dr. Yanpei Cao
Mar 2024 - Feb 2025
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Brown University, Providence, RI
Visiting Student
Host: Interactive 3D Vison & Learning Lab
Advisor: Prof. Srinath Sridhar and Prof. Daniel Ritchie
Jun 2023 - Nov 2025
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MIT, Cambridge, MA
Exchange Student, GPA: 5.0/5.0
UROP Intern at Scene Representation Group
& Geometric Data Processing Group, MIT
CSAIL
UROP Intern at Personal Robot Group, MIT Media
Lab
Feb 2023 - Jun 2023
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University of Chinese Academy of Sciences, Beijing
Bachelor of Compute Science, GPA: 3.96/4.0
Sep 2020 - Jun 2024
Outstanding Graduate Student
Outstanding Thesis Awards
2023 National Scholarship
2022 SenseTime Scholarship
Merit Student of Bejing
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Other Interesting Projects
Besides research, I also enjoy coding various projects to explore how computer science can enhance
our daily lives, as well as foster engaging interactions with diverse subjects.
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Interactive Computer Vision Cervical Spine Preventing System
Dingxi Zhang, Mengying Lin,
Zhuoxun Chen,
Hang Wang,
Boling Zhai,
Tianyu Zheng
paper
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code
An efficient and complete system for cervical spine prevention on common PC device,
it can detect cervical posture in real-time, provide timely feedback to remind users to pose
correctly and an interactive game to guide the user to exercise their cervical spine scientifically.
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NOX: Neo-quOrum sensing-based Xpression biosensor platform
UCAS-iGEM Team. My Role: Advisor
Award: 2023 International Genetically Engineered Machine Competition, Gold Award; Top 10
Undergrad; Best New Composite Part;
website
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code
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demo
A highly compatible and robust platform with impressive performance to construct an artificially
organized signaling pathway based on synthetic biology.
We designed a NLP-based search tool Powered by Llama2 and BERT for iGEM standard parts, Ask NOX.
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FitYo: A Customized Meal Replacements Generator
UCAS-iGEM Team. My Role: Vice Team Captain; Software Group Leader
Award: 2022 International Genetically Engineered Machine Competition, Bronze Award
website
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code
A system capable of producing nutritious, delicious, and highly user-free meal replacement foods by
lactic acid bacteria modified by synthetic biology technology.
We design a portable IoT machine to make meal replacement, an application for our machine & an entertaining science
game and a convenient tool for creating wiki.
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Decaffi: Personalized Caffeine Intake Management Scheme Based on Synthetic
Biology
UCAS-iGEM Team. My Role: Key Software Engineer
Award: 2021 International Genetically Engineered Machine Competition, Silver Award
website
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code
A comprehensive caffeine intake management system and provide users with scientific and proper
caffeine intake recommendations.
We design an application Caffeine-monitor to achieve this and an online education platform iGEM
EduHub for better Synthetic Biology education.
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