Yulun Zhang

Computer Vision Lab, ETH Zürich, Switzerland
Office: ETF D114.1, Sternwartstrasse 7, 8092 Zürich, Switzerland
Email: yulun100@gmail.com

I am a postdoctoral researcher at Computer Vision Lab, ETH Zürich, Switzerland. Previously, I obtained my Ph.D. degree from Department of Electrical & Computer Engineering, Northeastern University, USA, in Aug. 2021. Before that I received my master degree from the Department of Automation, Tsinghua University, China, in Jul. 2017 and B.E degree from School of Electronic Engineering, Xidian University, China, in Jul. 2013.

My research interest broadly includes machine learning and computer vision. Specifically, I focus on image/video restoration (e.g., super-resolution, denoising, deblurring), synthesis (e.g., style transfer, texture transfer), biomedical image enhancement and analysis, deep model compression (e.g., network pruning, quantization), computational imaging (e.g., spectral compressive imaging), etc. I am/was an Area Chair for CVPR’(2023-2024), ICCV’2023, ECCV’2024, NeurIPS’2023, ICLR’2024, ICML’2024, ACM MM’2024, IJCAI’2024, PRCV’2024 and Senior Program Committee (SPC) member for IJCAI’(2021-2023), AAAI’(2023-2024).

I will be joining Shanghai Jiao Tong University (SJTU) as a tenure-track associate professor in 2024 Spring.
Openings: We are looking for self-motivated undergraduate interns, graduate (Master/Ph.D.) students, and postdocs to join our group at SJTU. If you are interested, please email me with your resume.

News

Jan 2024 I am serving as an Area Chair for ECCV 2024, ICML 2024, and PRCV 2024.
Dec 2023 We release DPoser, a robust 3D human pose prior leveraging diffusion models (project, code, paper).
Nov 2023 I am serving as an Area Chair for ACM MM 2024 and IJCAI 2024 . We have also released several works: PromptSR (text prompt in image super-resolution), BiDRN (binarization in 3D whole-body human mesh recovery), DeqIR (parallel sampling in diffusion-based image restoration), and Reti-Diff (Retinex-based latent DM and Transformer for illumination degradation image restoration).
Sep 2023 4 papers accepted to NeurIPS 2023. Among them, HI-Diff is a diffusion model for realistic image deblurring. BiSCI is the first work about binarization in spectral compressive imaging.
Aug 2023 I am serving as an Area Chair for ICLR 2024.
Jul 2023 9 papers accepted to ICCV 2023 and 2 papers accepted to ACM MM 2023.
Jun 2023 I am serving as an Area Chair for CVPR 2024 and a Senior Program Committee (SPC) member for AAAI 2024. 1 paper about blind SR is accepted to TIP. 1 paper is accepted to MICCAI 2023. Pyramid Attention Networks for Image Restoration is accepted to IJCV.
May 2023 I am serving as an Associate Editor for Multimedia Tools and Applications (MTAP). 1 paper accepted to TIP.
Apr 2023 1 paper accepted to TPAMI and 1 paper accepted to ICML 2023. I am serving as a Reviewer for ACM MM 2023. We are also collecting papers about Diffusion Models in Low-Level Vision. Welcome to make your contributions!
Mar 2023 I am serving as an Area Chair for NeurIPS 2023 and a Reviewer for MICCAI 2023.
Feb 2023 6 papers accepted to CVPR 2023.
Jan 2023 3 papers accepted to ICLR 2023, 1 paper accepted to ISBI 2023.
Dec 2022 I am serving as a Senior Program Committee (SPC) member for IJCAI 2023 and Reviewer for ICML 2023.
Nov 2022 I am serving as an Area Chair for ICCV 2023. We have 2 papers accepted to AAAI 2023. They are about lightweight SR (HPUN) and hyperspectral image denoising (SST).
Oct 2022 I am serving as an Area Chair for CVPR 2023. We have 1 paper accepted to TIP.
Sep 2022 We have 2 papers accepted to NeurIPS 2022. They are about image restoration (CAT) and spectral compressive imaging (DAUHST).
Jul 2022 I am serving as a Senior Program Committee (SPC) member for AAAI 2023 and reviewer for ICLR 2023. We have 5 papers accepted to ECCV 2022 and 1 paper accepted to TPAMI.
Jun 2022 We have released the codebase for Spectral Compressive Imaging. We have 1 paper accepted to TPAMI and 2 papers accepted to ACM MM 2022.
May 2022 We have 2 papers accepted to ICML 2022. Our paper RCAN ranks top 10 most influential papers based on citations in ECCV 2018. See Most Influential ECCV Papers.
Apr 2022 We have 2 papers accepted to IJCAI 2022. We won the first place in NTIRE Spectral Reconstruction Challenge at CVPR, 2022. The paper and codebase of our solution MST++ have been released.
Mar 2022 We have 3 papers (two about spectral compressive imaging, one about interpretable image SR) accepted to CVPR 2022. I am serving as reviewer for ECCV 2022 and NeurIPS 2022.
Jan 2022 We have 1 paper accepted to TPAMI and another one accepted to ICLR 2022. I am serving as reviewer for ACM MM 2022 and MICCAI 2022.
Dec 2021 I am serving as SPC for IJCAI 2022 and reviewer for ICML 2022.
Sep 2021 3 papers are accepted to NeurIPS 2021. I am serving as reviewer for CVPR 2022.
Jul 2021 3 papers are accepted to ICCV 2021. I accept the invitation to the novel Program Committee Board of IJCAI with service time from 2022 to 2024.
Jun 2021 1 paper is accepted to TCYB and TIP. I am serving as reviewer for ICLR 2022.
Apr 2021 Our real-world image denoising paper is accepted to IJCAI 2021. I am serving as reviewer for NeurIPS 2021 and ACM MM 2021.
Mar 2021 Our papers about MR image enhancement and real-world image denoising are accepted to CVPR 2021. One paper about MR image super-resolution is accepted to TCSVT.
Feb 2021 Our paper RDN ranks top 10 most influential papers based on citations in CVPR 2018. See Most Influential CVPR Papers.
Jan 2021 Our Neural Pruning paper (code) is accepted to ICLR 2021. I am serving as reviewer for ICCV 2021.
Dec 2020 I am serving as a Senior Program Committee (SPC) member for IJCAI 2021 and PC member for ICML 2021, MICCAI 2021.
Sep 2020 We have 1 paper accepted to TNNLS and another one accepted to NeurIPS 2020. Code will be available soon.
Jul 2020 We have 2 papers accepted to ECCV 2020. Code/data will be available soon.
Jun 2020 We release the code for our paper: Pyramid Attention Networks for Image Restoration
Feb 2020 We have 3 papers accepted to CVPR 2020. Congratulations to all authors!
Jan 2020 We have 1 paper accepted to TPAMI.
Dec 2019 We release the TensforFlow code and pre-trained models for ICCV19MST at MST. The PyTorch code for MST is on the way.
Apr 2019 We release all the train/test codes and pre-trained models for ICLR19RNAN at RNAN.
Dec 2018 We have 1 paper accepted to ICLR 2019.
Jul 2018 We have 1 paper accepted to ACM MM 2018 and 1 paper accepted to ECCV 2018. PyTorch version for our CVPR18RDN has been implemented by Nguyễn Trần Toàn (trantoan060689@gmail.com) and merged into EDSR-PyTorch.
Jun 2018 I accept the invitation to serve as Program Committee member of AAAI 2019.
Feb 2018 I will intern to Adobe Research (San Jose, CA) this summer. We have 1 paper accepted to CVPR 2018 as spotlight. All the codes are available at Github.
Jul 2017 I recieve ‘Excellent Graduate of Beijing’ award, ‘Excellent Graduate in Department of Automation, Tsinghua University’ award, Excellent Master Thesis Award, Tsinghua University’ award, and Shenzhen Universiade International Scholarship.
May 2017 We have 1 IEEE TSMC paper accepted. Our team (HelloSR: Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao) ranks 2nd place in NTIRE Image Super-Resolution Challenge.

Recent Publications

  1. See More Details: Efficient Image Super-Resolution by Experts Mining
    Eduard Zamfir, Zongwei Wu*, Nancy Mehta, Yulun Zhang*, and Radu Timofte
    arXiv preprint arXiv:2402.03412 (arXiv), 2024
  2. DPoser: Diffusion Model as Robust 3D Human Pose Prior
    Junzhe Lu, Jing Lin, Hongkun Dou, Yulun Zhang, Yue Deng, and Haoqian Wang
    arXiv preprint arXiv:2312.05541 (arXiv), 2023
  3. Image Super-Resolution with Text Prompt Diffusion
    Zheng Chen, Yulun Zhang, Jinjin Gu, Xin Yuan, Linghe Kong, Guihai Chen, and Xiaokang Yang
    arXiv preprint arXiv:2303.06373 (arXiv), 2023
  4. Binarized 3D Whole-body Human Mesh Recovery
    Zhingteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, and Xiaokang Yang
    arXiv preprint arXiv:2311.14323 (arXiv), 2023
  5. Deep Equilibrium Diffusion Restoration with Parallel Sampling
    Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, and Luc Van Gool
    arXiv preprint arXiv:2311.11600 (arXiv), 2023
  6. Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
    Chunming He, Chengyu Fang, Yulun Zhang, Kai Li, Longxiang Tang, Chenyu You, Fengyang Xiao, Zhenhua Guo, and Xiu Li
    arXiv preprint arXiv:2311.11638 (arXiv), 2023
  7. Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
    Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, and Zhiqiang Tao
    arXiv preprint arXiv:2306.01176 (arXiv), 2023
  8. DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
    Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timofte, and Luc Van Gool
    arXiv preprint arXiv:2308.13767 (arXiv), 2023
  9. Recursive Generalization Transformer for Image Super-Resolution
    Zheng Chen, Yulun Zhang*, Jinjin Gu, Linghe Kong*, and Xiaokang Yang
    In International Conference on Learning Representations (ICLR), 2024
  10. Xformer: Hybrid X-Shaped Transformer for Image Denoising
    Jiale Zhang, Yulun Zhang*, Jinjin Gu, Jiahua Dong, Linghe Kong*, and Xiaokang Yang
    In International Conference on Learning Representations (ICLR), 2024
  11. QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
    Haotong Qin, Yulun Zhang†,*, Yifu Ding, Yifan Liu, Xianglong Liu*, Martin Danelljan, and Fisher Yu
    In Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2023
  12. Hierarchical Integration Diffusion Model for Realistic Image Deblurring
    Zheng Chen, Yulun Zhang*, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong*, and Xin Yuan
    In Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2023
  13. Binarized Spectral Compressive Imaging
    Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang*, and Haoqian Wang*
    In Advances in Neural Information Processing Systems (NeurIPS), 2023
  14. Dual Aggregation Transformer for Image Super-Resolution
    Zheng Chen, Yulun Zhang*, Jinjin Gu, Linghe Kong*, Xiaokang Yang, and Fisher Yu
    In International Conference on Computer Vision (ICCV), 2023
  15. Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
    Jiamian Wang, Huan Wang, Yulun Zhang*, Yun Fu, and Zhiqiang Tao*
    In International Conference on Computer Vision (ICCV), 2023
  16. DiffIR: Efficient Diffusion Model for Image Restoration
    Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, and Luc Van Gool
    In International Conference on Computer Vision (ICCV), 2023
  17. Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
    Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang*, Radu Timofte, and Yulun Zhang*
    In International Conference on Computer Vision (ICCV), 2023
  18. Alignment-free HDR Deghosting with Semantics Consistent Transformer
    Steven Tel, Zongwei Wu, Yulun Zhang*, Barthelemy Heyrman, Cedric Demonceaux, Radu Timofte, and Dominique Ginhac
    In International Conference on Computer Vision (ICCV), 2023
  19. CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
    Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang*, Yulun Zhang*, Radu Timofte, and Luc Van Gool
    In Computer Vision and Pattern Recognition (CVPR), 2023
  20. LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
    Zichun Wang, Ying Fu, Ji Liu, and Yulun Zhang
    In Computer Vision and Pattern Recognition (CVPR), 2023
  21. Accurate Image Restoration with Attention Retractable Transformer
    Jiale Zhang, Yulun Zhang*, Jinjin Gu, Yongbing Zhang, Linghe Kong*, and Xin Yuan
    In International Conference on Learning Representations (ICLR Spotlight), 2023
  22. Basic Binary Convolution Unit for Binarized Image Restoration Network
    Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, and Luc Van Gool
    In International Conference on Learning Representations (ICLR), 2023
  23. Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
    Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, and Luc Van Gool
    In International Conference on Learning Representations (ICLR), 2023