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Jianteng Chen I'm a Junior undergraduate student majoring Cyberspace Science and Technology in Beijing Institute of Technology (BIT). From August to December 2024, I will be participating in an exchange program at The Hong Kong University of Science and Technology (HKUST), with a major in computer science. Since April 2023, I have been a research intern at the DISCOVER Lab, Institute for AI Industry Research, Tsinghua University (AIR) in Beijing, supervised by Prof. Hao Zhao. |
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ResearchMy current research interest centers on furthering the development of NeRF and 3DGS technologies. Representative papers are highlighted. |
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MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous
Driving
Zirui Wu, Tianyu Liu, Liyi Luo, Zhide Zhong, Jianteng Chen, Hongmin Xiao, Chao Hou, Haozhe Lou, Yuantao Chen, Runyi Yang, Yuxin Huang, Xiaoyu Ye, Zike Yan, Yongliang Shi, Yiyi Liao, and Hao Zhao CICAI, 2023 (Best Paper Runner-up Award) Project Page / arXiv / GitHub We propose an autonomous driving simulator based upon neural radiance fields (NeRFs). Compared with existing works, ours has three notable features: (1) Instance-aware. (2) Modular. (3) Realistic. Our simulator achieves state-of-the-art photorealism results given the best module selection. Our simulator will be open-sourced while most of our counterparts are not. There are lots of following works on track. |
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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 / GitHub Efficiently anti-alias NeRF using anisotropic pre-filtering low rank structure, which achieves comparable performance to Zip-NeRF in the bounded scenes. |