Kaihua Chen

I’m a DPhil student at the VGG, University of Oxford, supervised by Prof. Andrea Vedaldi and Dr. Yushi Lan, and funded by the Clarendon Scholarship. My current research broadly focuses on diffusion generative models and 3D/4D vision.

Previously, I was a Master’s student in Computer Vision (MSCV) at the Robotics Institute, School of Computer Science, Carnegie Mellon University, advised by Prof. Deva Ramanan. I was also fortunate to work as a research intern in the Lin Brain Lab at the University of Toronto during my undergraduate studies at China Agricultural University.

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Research

What is intelligence? I’m still exploring what the best generative formulation and 3D representation might be, and how they can be applied to virtual reality, robotics, and other practical scenarios.

We reformulate novel-view synthesis as a structured inpainting task. CogNVS is a video diffusion model for dynamic novel-view synthesis trained in a self-supervised manner using only 2D videos!

Given a modal (visible) object sequence in a video, we develop a two-stage method that generates its amodal (visible + invisible) masks and RGB content via video diffusion.

MfH converts relative depth estimation to metric depth estimation via generative painting and human mesh recovery.

We introduce TAO-Amodal, an amodal tracking dataset featuring 833 diverse categories in thousands of video sequences.

Miscellaneous

In my spare time, I enjoy watching movies 🍿 and playing soccer ⚽️.

Last updated: Oct 10, 2026