Max W.F. Ku
I am a first-year PhD student in Computer Science at the Faculty of Mathematics, University of Waterloo, where I’m fortunate to be advised by Prof. Wenhu Chen.
My research lies at the intersection of generative AI, visual content creation, and model interpretability. I’m particularly focused on advancing controllable generation and editing of visual media (image, video, and beyond), and on evaluating and improving the interpretability of generative models.
At the core of my research is a simple but ambitious goal:
Make visuals fully controllable and extend this control beyond visuals.
My work covers:
- Generative AI
- Controllable Generation / Editing (Image, Video, and more)
- Multi Modalities (Visuals + X)
- Interpretability (by all means)
- Creative applications in Entertainment and Education
news
Jun 02, 2025 | Joined NVIDIA Deep Imagination Research as an intern for Summer 2025. |
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May 15, 2025 | TheoremExplainAgent got accepted to ACL 2025 Main! |
Nov 03, 2024 | AnyV2V got accepted to TMLR 2024! |
Sep 26, 2024 | GenAIArena got accepted to NeurIPS 2024! See you in Vancouver! |
May 15, 2024 | VIEScore got accepted to ACL 2024 Main! See you in Bangkok! |
latest posts
Feb 25, 2025 | Paper Review - Audio-Visual Related Research (WIP) |
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Jan 14, 2025 | Implementing RAG for Code Library Documentation |
Jan 08, 2025 | Evaluating Protein Transfer Learning with TAPE |