Junchen Liu 刘俊辰

I'm a 4th-year undergraduate in the school of Computer Science, Beihang University. Currently, I'm also a visiting student at UC Berkeley, working closely with Ruilong Li under the guidance of Prof. Angjoo Kanazawa. I was a research intern at Institute for AI Industry Research (AIR), Tsinghua University supervised by Hao Zhao. I'm interested in computer vision and graphics.

I believe the real world can be modeled as a probability distribution of clusters on a high-dimensional manifold, suggesting the existence of a general 3D representation that is both compact and non-scene-specific. I'm working on it.

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profile photo

Publications

(* indicates joint first authorship)

clean-usnob Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids
Junchen Liu*, Wenbo Hu*, Zhuo Yang*, Jianteng Chen, Guoliang Wang, Xiaoxue Chen, Yantong Cai, Huan-ang Gao, Hao Zhao
SIGGRAPH 2024
project page / arXiv / video / code

Efficiently anti-alias NeRF using anisotropic pre-filtering low rank structure, which achieves higher PSNR within less training time compared with Zip-NeRF in the bounded scenes.
clean-usnob NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields
Xiaoxue Chen*, Junchen Liu*, Hao Zhao, Guyue Zhou, Yaqin Zhang
arXiv 2023, under review
arXiv / code

Reconstruct transparent and specular objects using a uniform neural representation.

Projects
clean-usnob Tri-MipRF nerfstudio integration
Junchen Liu
code

Nerfstudio version of Tri-MipRF.

Selected Awards

  • National Scholarship (Top 1%), Ministry of Education of China, 2022
  • National Level First Prize (Top 0.65%), The 13th Contemporary Undergraduate Mathematical Contest in Modeling
  • First Prize, The Chinese Mathematics Competitions

Thanks to Jon Barron for sharing the code of his personal webpage.