Zhilin Guo
PhD student in Computer Science
Dept. of Computer Science and Technology
University of Cambridge

I am Zhilin Guo, a PhD student in Computer Science with Core Lab at University of Cambridge, supervised by Prof. Cengiz Öztireli. My research revolves around developing AI algorithms and tools that allow easy understanding, recreating, and editing of high-fidelity 3D scenes. It is an extension of my long-standing passion for machines to understand the real world for the purpose of creating digital realms with ease.

Before joining Cambridge, I completed my Master's degree in Computer Science at Columbia University. At the same time, I embarked on a research project supervised by Prof. Zhiguo Cao and Prof. Yang Xiao to use spatial-temporal 3D hand pose estimation for Parkinson's Disease evaluation, through which I developed invaluable insight into Computer Science research, especially in Computer Vision and Deep Learning.

My foundation in Computer Science was laid at Boston University, from where I received my Bachelor's degree in Computer Science. Those years kindled my curiosity in Computers and Artificial Intelligence, shaping the trajectory of my future studies.

When I'm not immersed in research, I find solace in tennis, jogging, and painting miniature models. I am always looking for collaborations or simple exchanges on shared academic interests!

Connect with me: zg296 at cam.ac.uk

News

Publications

(^*: equal contribution. ^†: corresponding author.)

Physically Based Neural Bidirectional Reflectance Distribution Function [Paper]

Chenliang Zhou, Alejandro Sztrajman, Gilles Rainer, Fangcheng Zhong, Fazilet Gokbudak, Zhilin Guo, Weihao Xia, Rafal Mantiuk, Cengiz Oztireli

Computer Graphics Forum (CGF), accepted May 2026.

Matryoshka Gaussian Splatting [Paper] [Project]

Zhilin Guo, Boqiao Zhang, Hakan Aktas, Kyle Fogarty, Jeffrey Hu, Nursena Koprucu Aslan, Wenzhao Li, Canberk Baykal, Albert Miao, Josef Bengtson, Chenliang Zhou, Weihao Xia, Cristina Nader Vasconcelos, Cengiz Oztireli

arXiv preprint, 2026.

PoseCraft: Tokenized 3D Body Landmark and Camera Conditioning for Photorealistic Human Image Synthesis [Paper]

Zhilin Guo, Jing Yang, Kyle Fogarty, Jingyi Wan, Boqiao Zhang, Tianhao Wu, Weihao Xia, Chenliang Zhou, Sakar Khattar, Fangcheng Zhong, Cristina Nader Vasconcelos, Cengiz Oztireli

arXiv preprint, 2026.

Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping [Paper]

Tianhao Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Oztireli^†

International Conference on Learning Representations (ICLR) 2025

Fitness Aware Human Motion Generation from Fine-Tuning [Paper]

Kiril Bikov^*, Shiye Su^*, Deepro Choudhury^*, Zhilin Guo, Weihao Xia, Mehmet Salih Çeliktenyıldız, Chenliang Zhou, Param Hanji, Cengiz Oztireli^†

Neural Information Processing Systems (NeurIPS) 2024 FITML

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation [Paper]

Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Oztireli^†

European Conference on Computer Vision (ECCV) 2024

Vision-Based Finger Tapping Test in Patients With Parkinson’s Disease via Spatial-Temporal 3D Hand Pose Estimation [Paper]

Zhilin Guo^*, Weiqi Zeng^*, Taidong Yu^*, Yan Xu, Yang Xiao, Xuebing Cao^†, Zhiguo Cao^†.

IEEE Journal of Biomedical and Health Informatics (JBHI), Vol.26, No.8, August 2022.

Survey on depth and RGB image-based 3D hand shape and pose estimation [Paper]

Lin Huang^*, Boshen Zhang^*, Zhilin Guo^*, Yang Xiao^†, Zhiguo Cao^†, Junsong Yuan^†.

Virtual Reality & Intelligent Hardware (VR-IH), Vol. 3, Issue 3, Pages 207-234, June 2021.

Research Experiences