Published a paper titled 'EvalCrafter: Benchmarking and Evaluating Large Video Generation Models' at CVPR 2024.
Research Experience
Involved in several research projects related to video generation, such as Pusa-VidGen (a thousands timesteps video diffusion model) and EvalCrafter (a benchmarking tool for large video generation models).
Education
Ph.D. Candidate at City University of Hong Kong
Background
Research interests include video generation models, artificial intelligence, etc.
Miscellany
Has a LinkedIn profile (https://www.linkedin.com/in/yaofang-liu-abb240223/) and Google Scholar page (https://scholar.google.com/citations?user=WWb7Y7AAAAAJ&hl=en).