Fan Fei (费凡)

I am a third-year Ph.D. student at the Camera Intelligence Research Lab at Peking University, where I work on 3D computer vision. My PhD advisor is Prof. Boxin Shi.

Previously, I graduate from Turing Class at Peking University as a BS (Summa Cum Laude) in Intelligence Science and Technology.

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Research

I previously worked on 3D computer vision and computer graphics, especially inverse rendering, 3D reconstruction, and 3D generation. Now I am focusing on embodied AI.

No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering

We propose LS-Gaussian, an algorithm/hardware co-design framework for lightweight streaming 3D rendering which achieves 5.41× speedup over the edge GPU baseline on average and up to 17.3× speedup with the customized accelerator.

PacTure: Efficient PBR Texture Generation on Packed Views with Visual Autoregressive Models

We propose PacTure, a method to efficiently generate physically-based rendering (PBR) textures on a packed multi-view grid using a visual autoregressive model as multi-view generation backbone.

SpecTRe-GS: Modeling Highly Specular Surfaces with Reflected Nearby Objects by Tracing Rays in 3D Gaussian Splatting

We propose a 3D reconstruction method which models highly specular surfaces that reflect nearby objects through ray tracing in 3D Gaussian Splatting.

VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources

We use near-field lights, such as flashlights, as sources of lighting variation to enhance both the practicality and the quality of multi-view inverse rendering.

SPLiT: Single Portrait Lighting Estimation Via a Tetrad of Face Intrinsics

From a single portrait image, we estimate a tetrad of face intrinsics and uses spherically distributed components to estimate lighting.

Design and source code from Jon Barron's website