News
- 2025/04 -- Excited to announce Towards RAW Object Detection in Diverse Conditions has been selected as a Highlight paper by CVPR 2025!
- 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: as core contributor / by date)
* Equal contribution. # Corresponding author. Representative papers are highlighted.
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution
Zheng-Peng Duan, Jiawei Zhang, Xin Jin, Ziheng Zhang, Zheng Xiong, Dongqing Zou, Jimmy Ren, Chunle Guo, Chongyi Li#.
arxiv, 2025
project / paper
Zheng-Peng Duan, Jiawei Zhang, Xin Jin, Ziheng Zhang, Zheng Xiong, Dongqing Zou, Jimmy Ren, Chunle Guo, Chongyi Li#.
arxiv, 2025
project / paper
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 / paper / 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 / paper / bibtex
Towards RAW Object Detection in Diverse Conditions
Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng#
CVPR, 2025, (Highlight)
paper / code / bibtex
Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng#
CVPR, 2025, (Highlight)
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. |
 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). |
As Conference and Workshop Committee
 2025/01 - 2025/06 Nashville TN, USA |
Co-organizerHelp organized the NTIRE workshop @ CVPR 2025 with Radu Timofte, etc, especially track Efficient Burst HDR and Restoration. |
 2023/12 - 2024/06 Seattle WA, USA |
Co-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. Report at here. |
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.
Contact
You are very welcome to contact me regarding my research, offer some startup ideas, or just say hi.I typically respond within a few days. Busy these days, maybe take some time to reply.
I can be contacted directly at xjin [at] mail.nankai.edu.cn, or through my twitter account.