News
- 2025/02 -- Two papers got accepted by CVPR 2025! Maybe one is gonna be hosted in Premiere Pro 🤫
- 2025/02 -- We released the Chinese version of Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising; and LE3D's explanation on 知乎.
- 2025/01 -- We released the Chinese version of DNF: Decouple and Feedback Network for Seeing in the Dark.
- 2025/01 -- Code release on github for LE3D!
- 2025/01 -- We release a web viewer for LE3D!
- 2024/12 -- DiffRetouch has been accepted by AAAI 2025!
- 2024/10 -- LE3D has been accepted by NeurIPS 2024! We are working on the release of the code. Please stay tuned! Hope to see you guys at Vancouver, Canada!
- 2024/06 -- We present LE3D, enabling real-time rendering for HDR view synthesis!
- 2024/01 -- The Few-shot RAW Image Denoising Track in MIPI 2024 has started!
- 2023/12 -- A honor to co-organize the MIPI workshop @ CVPR2024 with NTU S-Lab!
- 2023/12 -- We have released a extension version of our LED. Code is also released on Github!
- 2023/07 -- The official code of Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising has been released on Github!
- 2023/07 -- One paper, including LED, got accepted by ICCV 2023.
- 2023/05 -- The official code of DNF: Decouple and Feedback Network for Seeing in The Dark has been released on Github!
- 2023/03 -- Excited to announce one paper accepted by CVPR 2023 was selected as Highlight, 10% of accepted papers, 2.5% of submissions!
- 2023/03 -- One paper got accepted by CVPR 2023.
- 2023/01 -- Our paper was awarded oral presentation qualification by AAAI.
- 2022/11 -- One paper got accepted by AAAI 2023.
- 2022/04 -- I have won the third place in RAW Image Blind De-noising as the team leader in Megcup 2022!
- 2022/04 -- Our team have won the third place in Night Photography Rendering Challenge, CVPRW 2022!
- 2022/03 -- One paper got accepted by ICPR 2022 and selected as oral presentation.
Publications (click to sort: first author / date)
* Equal contribution. # Corresponding author. Representative papers are highlighted.
Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable
Xin Jin, Simon Niklaus, Zhoutong Zhang, Zhihao Xia, Chunle Guo#, Yuting Yang, Jiawen Chen, Chongyi Li
Teaser video is provided by Robert Kjettrup, enhanced for best view of noise removal.
CVPR, 2025
project / bibtex
Xin Jin, Simon Niklaus, Zhoutong Zhang, Zhihao Xia, Chunle Guo#, Yuting Yang, Jiawen Chen, Chongyi Li
Teaser video is provided by Robert Kjettrup, enhanced for best view of noise removal.
CVPR, 2025
project / bibtex
Towards RAW Object Detection in Diverse Conditions
Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng#
CVPR, 2025
paper / code / bibtex
Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng#
CVPR, 2025
paper / code / bibtex
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
Zheng-Peng Duan, Jiawei zhang, Zheng Lin, Xin Jin, Dongqing Zou, Chunle Guo, Chongyi Li#
AAAI, 2025
project / paper / bibtex
Zheng-Peng Duan, Jiawei zhang, Zheng Lin, Xin Jin, Dongqing Zou, Chunle Guo, Chongyi Li#
AAAI, 2025
project / paper / bibtex
Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
Xin Jin*, Pengyi Jiao*, Zheng-Peng Duan, Xingchao Yang, Chongyi Li, Chun-Le Guo#, Bo Ren#.
NeurIPS, 2024
project[viewer,intro] / paper / code / twitter(X) / 知乎 / bibtex
Xin Jin*, Pengyi Jiao*, Zheng-Peng Duan, Xingchao Yang, Chongyi Li, Chun-Le Guo#, Bo Ren#.
NeurIPS, 2024
project[viewer,intro] / paper / code / twitter(X) / 知乎 / bibtex
Make Explict Calibration Implicit: "Calibrate" Denoiser Instead of The Noise Model
This is an extension of our LED, ICCV 2023.
Xin Jin, Jia-Wen Xiao, Ling-Hao Han, Chun-Le Guo#, Xialei Liu, Chong-Yi Li, Ming-Ming Cheng#.
arxiv, 2023
project / paper / code / bibtex
This is an extension of our LED, ICCV 2023.
Xin Jin, Jia-Wen Xiao, Ling-Hao Han, Chun-Le Guo#, Xialei Liu, Chong-Yi Li, Ming-Ming Cheng#.
arxiv, 2023
project / paper / code / bibtex
Underwater Ranker: Learn Which Is Better and How to Be Better
Chun-Le Guo*, Rui-Qi Wu*, Xin Jin, Ling-Hao Han, Zhi Chai, Wei-Dong Zhang, Chong-Yi Li#.
AAAI, 2023, (Oral)
project / paper / code / dataset (pwd: nuin) / bibtex
Chun-Le Guo*, Rui-Qi Wu*, Xin Jin, Ling-Hao Han, Zhi Chai, Wei-Dong Zhang, Chong-Yi Li#.
AAAI, 2023, (Oral)
project / paper / code / dataset (pwd: nuin) / bibtex
A Novel Low-light Image Enhancement Algorithm Based On Information Assistance
Jiacen Guo, Xin Jin, Weilin Chen, Chao Wang#.
ICPR, 2022, (Oral)
paper / bibtex
Jiacen Guo, Xin Jin, Weilin Chen, Chao Wang#.
ICPR, 2022, (Oral)
paper / bibtex
Experience
 2024/06 - 2024/11 San Jose CA, USA |
Research Scientist InternWorking with amazing researchers such as Simon Niklaus, Zhihao Xia, Zhoutong Zhang and Jiawen Chen (Marc Levoy's team), where I was designing novel algorithms on practical denoising for in-the-wild videos and provide tech-support for Premiere Pro. |
 2023/12 - 2024/06 Seattle WA, USA |
Joint OrganizerOrganized the MIPI workshop @ CVPR 2024 with Chen Change Loy, Jimmy S. Ren, Shangchen Zhou, etc. I lead the Few-shot RAW Image Denoising Track. |
 2022/05 - 2022/09 (Engineer) 2023/05 - 2024/06 (Scientist) Beijing, China |
Research InternWorked with Yuzhi Wang and Xingchao Yang, where I came up with the idea of LED and worked on Burst Denoising and HDR view synthesis (LE3D). |
Competitions and Awards
- Second Runner-up (Team Feedforward) in RAW Image Blind Denoising, Megcup 2022, serve as team leader.
- Second Runner-up (Team Feedback) in Night Photography Rendering Challenge, CVPR Workshop 2022.
Education
2022/09 - Present, I am a Ph.D student at College of Computer Science, Nankai University, under the supervision of Prof. Ming-Ming Cheng.
2018/09 - 2022/07, I was an undergraduate student at College of Software, Nankai University.
2018/09 - 2022/07, I was an undergraduate student at College of Software, Nankai University.