• I am currently working as a Postdoctoral Researcher in the VISICS lab, which is part of ESAT-PSI at Katholieke Universiteit Leuven, under the mentorship of Prof. Tinne Tuytelaars. I obtained my Ph.D. degree from the VDI Center at the School of Information Science and Technology, ShanghaiTech University, where I was supervised by Prof. Jingyi Yu.

• I earned my Doctorate (Ph.D.) from the University of the Chinese Academy of Sciences, with ShanghaiTech University as my main training institution, in 2021. I received my Bachelor’s degree from Shanghai University in 2015.

• My research interests lie at the intersection of Neural Rendering, Computer Vision, and Computational Photography, which are areas that I believe are reshaping the way we interact with and interpret the digital world.

Projects

TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video

TeTriRF significantly reduces the storage size for Free-Viewpoint Video (FVV) while maintaining low-cost generation and rendering.

VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams

VideoRF treats dynamic radiance fields as 2D feature streams, leveraging hardware video codecs and shaders for smooth, high-quality rendering on various devices.

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

ReRF enables highly compressible and streamable radiance field modeling. Our ReRF-based codec scheme and streaming player gives users a rich interactive experience.

NeVRF: Neural Video-based Radiance Fields for Long-duration Sequences

NeVRF marries neural radiance field with image-based rendering to support photo-realistic novel view synthesis on long-duration dynamic scenes.

Multi-view Neural Human Rendering

NHR creates photorealistic free-viewpoint videos (FVV) using multi-view dynamic human captures, utilizing point-based neural rendering techniques.