Computer Laboratory

Fangcheng Zhong


Research

With a broad interest in computer graphics, computer vision, 3D machine learning, and applied mathematics, my research spans the entire digital reality pipeline --- from 3D scene acquisition and representation, to rendering and novel 3D displays. I am particularly interested in 1) hyper-realistic 3D imaging and rendering; 2) differentiable graphics; 3) neural representations; and 4) 3D generative modelling.

My PhD work was the first that established an end-to-end 3D imaging and display system that passed a Visual Turing Test.

About Me

I joined the Graphics & Interaction (Rainbow) Group at the University of Cambridge in 2018 as a Marie-Curie ITN Early Stage Researcher as part of the European ITN RealVision Project and completed a PhD in computer science advised by Prof. Rafał Mantiuk in 2021. My PhD was fully funded by the Marie Skłodowska-Curie Fellowship.

I am currently a Postdoctoral Researcher working with Prof. Cengiz Öztireli and an Affiliated Lecturer in the Department of Computer Science and Technology.

I keep my LinkedIn Profile up to date with my full education/work experience.

Supervisions

2018-19:

2019-20:

2020-21:

2021-22:

2022-23:

I have also supervised Part II and MPhil projects in the past with topics in graphics, computer vision, machine learning, image processing, and VR/AR. Interested students are welcome to reach out to discuss ideas.

Selected Publications


D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video

Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Oztireli

Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2022

[Page][Paper]


Dark Stereo: Improving Depth Perception under Low Luminance

Krzysztof Wolski, Fangcheng Zhong, Karol Myszkowski, Rafał K. Mantiuk

ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH), 2022

[Page][Paper]



Kubric: a Scalable Dataset Generator

Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji, Hsueh-Ti (Derek) Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[Page][Paper]





Reproducing Reality with a High-Dynamic-Range Multi-Focal Stereo Display

Fangcheng Zhong, Akshay Jindal, Özgür Yöntem, Param Hanji, Simon Watt, Rafał K. Mantiuk

ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia), 2021

[Page][Paper]



Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration

Param Hanji, Fangcheng Zhong, Rafał K. Mantiuk

Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2020

[Page][Paper]


DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays

Fangcheng Zhong, George Alex Koulieris, George Drettakis, Martin S. Banks, Fredo Durand, Rafał K. Mantiuk

ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia), 2019

[Page][Paper]



Contact

Email: fangcheng [dot] zhong [at] cst [dot] cam [dot] ac [dot] uk
Phone: +44 (0)1223 763659
Office: SS13, Computer Laboratory
Address: Computer Laboratory, William Gates Building, 15 JJ Thomson Ave, Cambridge CB3 0FD

  • © 2018 Computer Laboratory, University of Cambridge