Chen Liu

Hi :) I am Chen, now a Computer Graphics Ph.D. student at University College London (UCL), working with Prof. Tobias Ritschel and Prof. Niloy Mitra.

Before that, I had a Master from UCL and obtained my Bachelor from Beihang University. During my undergrad, I interned at Prof. Xianglong Liu’s Lab and worked at ByteDance as a graphics engineer.

Talking about research aspirations, my goal is to create a world satiating our “childish sense” of grand adventures. Here is a list of topics that shape the core of my works and interests: Appearance Modelling, Photorealistic Rendering, Data-driven Image Synthesis, and many others more – AI, of course.

News

Mar 01, 2026	I will be joining Adobe Research as an intern in London this summer.
Jan 29, 2026	I delivered a talk at HiVisComp 2026, High Tatra, Slovakia.
Aug 07, 2025	I gave a talk at GAMES Webinar (in Chinese).
Jun 26, 2025	One paper got accepted to ICCV 2025 at Hawaii, Aloha!
Jun 01, 2025	I will visit Elliott this summer at University of Cambridge.

Publications

Generative Video Bi-flow

Chen Liu, and Tobias Ritschel

International Conference on Computer Vision (ICCV 2025)

Details PDF Code Cite

We learn ODE flows between consecutive frame distributions, hence generating videos efficiently and robustly.

@inproceedings{liu2025generative,
  title = {Generative Video Bi-flow},
  author = {Liu, Chen and Ritschel, Tobias},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages = {19363--19372},
  year = {2025},
}

Neural Differential Appearance Equations

Chen Liu, and Tobias Ritschel

ACM Transactions on Graphics (SIGGRAPH Asia 2024)

Accepted as TOP 5%

Details PDF Code Dataset Cite

NDAEs govern time-varying appearances, e.g., rusting and weathering, in terms of RGBs or even BRDFs.

@article{liuNeuralDifferentialAppearance2024,
  title = {Neural Differential Appearance Equations},
  author = {Liu, Chen and Ritschel, Tobias},
  journal = {ACM Transactions on Graphics},
  volume = {43},
  number = {6},
  pages = {1--17},
  year = {2024},
  doi = {10.1145/3687900},
}

Learning to Learn and Sample BRDFs

Chen Liu, Michael Fischer, and Tobias Ritschel

Computer Graphics Forum (Eurographics 2023)

Details PDF Code Cite

A set of most informative locations to sample BRDFs can be learned via meta-learning.

@article{liuLearningLearnSample2023,
  title = {Learning to Learn and Sample BRDFs},
  author = {Liu, Chen and Fischer, Michael and Ritschel, Tobias},
  journal = {Computer Graphics Forum},
  volume = {42},
  number = {2},
  pages = {201--211},
  year = {2023},
  doi = {10.1111/cgf.14754},
}

Projects

A collection of my useful code-bases
Graphics courses on Rendering / Simulation / Geometry with code
Path Tracer (Ray-Tracing-in-One-Week Series)

Services

Conference Reviewer: SIGGRAPH Asia (2025), Pacific Graphics (2024), Eurographics (2026), CVPR (2025), ICCV (2025), 3DV (2026)

Journal Reviewer: Computer Graphics Forum

Volunteer: EG 2025 [💼, 📸], EGSR 2024 [📀, 📸], GAMES101 Grader

Teaching Assistant at UCL