Ziteng Cui

Ziteng Cui (崔子藤)

I am a Project Assistant Professor (特任助教) at the University of Tokyo, affiliated with the MIL Lab at RCAST. I received my Ph.D. from same lab in the University of Tokyo (2025.06), M.S. from Shanghai Jiao Tong University, and B.S. from Harbin Institute of Technology.

I mainly work on Physics-based Vision & Computational Photography & 3D Computer Vision. My favorite things are DOTA2, hiking, anime (JOJO, One Piece, HunterxHunter ...) and Britpop.

My research goal is to integrate physical intrinsic knowledge into real-world downstream applications (e.g., perception, 3D vision, robotics). I'm always open to academic collaborations, feel free to reach out.

Email / Google Scholar / Github / Twitter / LinkedIn

举世誉之而不加劝，举世非之而不加沮，定乎内外之分，辩乎荣辱之境，斯已矣。彼其于世，未数数然也。-- 庄子《逍遥游》

News

● 2025.11 One paper LHSI has been accepted by WACV 2026, congrats to the team ☀️☀️
● 2025.09 Two papers Dr. RAW and I2-NeRF have been accepted by NeurIPS 2025, congrats to the team ☀️☀️
● 2025.09 I have been selected to the Doctoral Consortium at BMVC 2025, and will give an invited talk at BMVC 2025 smart camera workshop 🎙️🎙️
● 2025.08 One paper AR-Talk has been accepted by Siggraph Asia 2025, congrats to the team ☀️☀️
● 2025.06 I successfully defended my Ph.D. dissertation, Dr. Cui now 💐💐
● 2025.04 I have been selected to the Doctoral Consortium at CVPR 2025 ☀️☀️
● 2025.02 One first author paper Luminance-GS has been accepted by CVPR 2025 ☀️☀️
● 2024.07 One first author paper RAW-Adapter has been accepted by ECCV 2024 ☀️☀️
● 2023.12 One first author paper Aleth-NeRF has been accepted by AAAI 2024 ☀️☀️
● ... ...

Selected Publications

I'm now interested in the physics modeling of low-level vision and 3D computer vision, I especially interested in the neural radiance field. "*" means authors contribute equally. "#" means corresponding author. Full publication list please refer to here.

	RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction Shuhong Liu, Chenyu Bao, Ziteng Cui, Yun Liu, Xuangeng Chu, Lin Gu, Marcos V. Conde, Ryo Umagami, Tomohiro Hashimoto, Zijian Hu, Tianhan Xu, Yuan Gan, Yusuke Kurose, Tatsuya Harada. Arxiv, 2026 [github] arxiv / bibtex
	Perception-Inspired Color Space Design for Photo White Balance Editing Yang Cheng, Ziteng Cui#, Lin Gu, Shenghan Su, Zenghui Zhang. WACV, 2026 [github] arxiv / bibtex
	Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning Wenjun Huang, Ziteng Cui*, Yinqiang Zheng, Yirui He, Tatsuya Harada, Mohsen Imani. NeurIPS*, 2025 [github] arxiv / bibtex
	I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions Shuhong Liu, Lin Gu, Ziteng Cui, Xuangeng Chu, Tatsuya Harada. NeurIPS, 2025 [github] website / arxiv / bibtex
	Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment Ziteng Cui#, Xuangeng Chu, Tatsuya Harada. CVPR, 2025 [github] website / arxiv / bibtex / poster
	ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model Xuangeng Chu, Nabarun Goswami, Ziteng Cui, Hanqin Wang, Tatsuya Harada. SIGGRAPH ASIA, 2025 [github] website / arxiv / bibtex
	Discovering an Image-Adaptive Coordinate System for Photography Processing Ziteng Cui#, Lin Gu, Tatsuya Harada. BMVC, 2024 arxiv / bibtex
	RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images Ziteng Cui#, Tatsuya Harada. ECCV, 2024 [github] website / arxiv / bibtex / poster
	Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada. AAAI, 2024 [github] website / arxiv / arxiv (old version) / bibtex / poster
	Monodetr: Depth-guided transformer for monocular 3d object detection Renrui Zhang, Han Qiu, Tai Wang, Ziyu Guo, Ziteng Cui, Yu Qiao, Hongsheng Li, Peng Gao ICCV, 2023 [github] arxiv / bibtex / code / poster
	You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada. BMVC, 2022 [github] (✨ Most Cited in BMVC 2022) arxiv / bibtex / demo / poster
	Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada. ECCV, 2022 [github] arxiv / bibtex / poster
	Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada. ICCV, 2021 [github] arxiv / bibtex / poster

Misc

BMVC 2025 Doctoral Consortium
CVPR 2025 Doctoral Consortium
ICCV 2025 Outstanding Reviewer
CVPR 2025 Outstanding Reviewer
Ministry of Education of P.R. China National Scholarship
Shanghai Jiao Tong University Excellent Graduate Student

Service

Reviewer: CVPR, ICCV, ECCV, TPAMI, IJCV, TVCG, ICLR, ICML, NIPS, ACM MM, AISTATS, BMVC, ACCV, WACV, AAAI, Eurographics, Pacific Graphics, TNNLS, TCSVT etc.

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