English
Kai Liu†, Qian Zheng†, Kaiwen Tao†, Zhiteng Li, Haotong Qin, Wenbo Li, Yong Guo, Xianglong Liu, Linghe Kong*, Guihai Chen, Yulun Zhang*, and Xiaokang Yang
arXiv preprint arXiv:2505.05530 (arXiv), 2025
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
Zheng Chen†, Zichen Zou†, Kewei Zhang, Xiongfei Su, Xin Yuan, Yong Guo, and Yulun Zhang*
arXiv preprint arXiv:2505.16239 (arXiv), 2025
HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model
Jingkai Wang, Wu Miao, Jue Gong, Zheng Chen, Xing Liu, Hong Gu, Yutong Liu*, and Yulun Zhang*
arXiv preprint arXiv:2505.18469 (arXiv), 2025
OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates
Jinpei Guo, Yifei Ji, Zheng Chen, Kai Liu, Min Liu, Wang Rao, Wenbo Li, Yong Guo, and Yulun Zhang*
arXiv preprint arXiv:2505.16091 (arXiv), 2025
Freqformer: Image-Demoir\backslash’eing Transformer via Efficient Frequency Decomposition
Xiaoyang Liu†, Bolin Qiu†, Jiezhang Cao, Zheng Chen, Yulun Zhang*, and Xiaokang Yang
arXiv preprint arXiv:2505.19120 (arXiv), 2025
HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
Jue Gong†, Tingyu Yang†, Jingkai Wang, Zheng Chen, Xing Liu, Hong Gu, Yulun Zhang*, and Xiaokang Yang
arXiv preprint arXiv:2505.19742 (arXiv), 2025
QuantFace: Low-Bit Post-Training Quantization for One-Step Diffusion Face Restoration
Jiatong Li†, Libo Zhu†, Haotong Qin, Jingkai Wang, Linghe Kong*, Guihai Chen, Yulun Zhang*, and Xiaokang Yang
arXiv preprint arXiv:2506.00820 (arXiv), 2025
DVD-Quant: Data-free Video Diffusion Transformers Quantization
Zhiteng Li†, Hanxuan Li†, Junyi Wu, Kai Liu, Linghe Kong*, Guihai Chen, Yulun Zhang*, and Xiaokang Yang
arXiv preprint arXiv:2505.18663 (arXiv), 2025
ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration
Xianglong Yan†, Zhiteng Li†, Tianao Zhang, Linghe Kong, Yulun Zhang*, and Xiaokang Yang
arXiv preprint arXiv:2505.24357 (arXiv), 2025
QuantCache：Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
Junyi Wu†, Zhiteng Li†, Zheng Hui, Yulun Zhang*, Linghe Kong, and Xiaokang Yang
arXiv preprint arXiv:2503.06545 (arXiv), 2025
AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
Zhiteng Li†, Mingyuan Xia†, Jingyuan Zhang, Zheng Hui, Linghe Kong*, Yulun Zhang*, and Xiaokang Yang
arXiv preprint arXiv:2502.01403 (arXiv), 2025
One-Step Diffusion Model for Image Motion-Deblurring
Xiaoyang Liu, Yuquan Wang, Zhen Chen, Jiezhang Cao, He Zhang, Yulun Zhang*, and Xiaokang Yang
arXiv preprint arXiv:2503.06537 (arXiv), 2025
QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-Resolution
Libo Zhu†, Haotong Qin†, Kaicheng Yang, Wenbo Li, Yong Guo, Yulun Zhang*, Susanto Rahardj, and Xiaokang Yang
arXiv preprint arXiv:2503.05584 (arXiv), 2025
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution
Kai Liu†, Dehui Wang†, Zhiteng Li, Zheng Chen, Yong Guo, Wenbo Li, Linghe Kong*, and Yulun Zhang*
arXiv preprint arXiv:2502.15478 (arXiv), 2025
Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
Jinpei Guo, Zheng Chen, Wenbo Li, Yong Guo, and Yulun Zhang*
arXiv preprint arXiv:2502.09873 (arXiv), 2025
Progressive Binarization with Semi-Structured Pruning for LLMs
Xianglong Yan†, Tianao Zhang†, Zhiteng Li, and Yulun Zhang*
arXiv preprint arXiv:2502.01705 (arXiv), 2025
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
Jianze Li†, Jiezhang Cao†, Yong Guo, Wenbo Li, and Yulun Zhang*
In International Conference on Machine Learning (ICML), 2025
Human Body Restoration with One-Step Diffusion Model and A New Benchmark
Jue Gong†, Jingkai Wang†, Zheng Chen, Xing Liu, Hong Gu, Yulun Zhang*, and Xiaokang Yang
In International Conference on Machine Learning (ICML), 2025
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
Kai Liu†, Kaicheng Yang†, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong*, and Yulun Zhang*
In International Conference on Machine Learning (ICML), 2025
OSDFace: One-Step Diffusion Model for Face Restoration
Jingkai Wang†, Jue Gong†, Lin Zhang, Zheng Chen, Xing Liu, Hong Gu, Yutong Liu*, Yulun Zhang*, and Xiaokang Yang
In Computer Vision and Pattern Recognition (CVPR), 2025
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
Libo Zhu, Jianze Li, Haotong Qin*, Wenbo Li, Yulun Zhang*, Yong Guo, and Xiaokang Yang
In Computer Vision and Pattern Recognition (CVPR), 2025
ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li†, Xianglong Yan†, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong*, Yulun Zhang*, and Xiaokang Yang
In International Conference on Learning Representations (ICLR), 2025
GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
Zhiteng Li, Lele Chen, Jerone Andrews, Yunhao Ba, Yulun Zhang, and Alice Xiang
In International Conference on Learning Representations (ICLR), 2025
Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher
Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, and Jian Chen
In International Conference on Learning Representations (ICLR), 2025
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
Keda Tao, Jinjin Gu, Yulun Zhang, Xiucheng Wang, and Nan Cheng
In International Conference on Learning Representations (ICLR), 2025
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
Chunming He, Chengyu Fang, Yulun Zhang*, Tian Ye, Kai Li, Longxiang Tang, Zhenhua Guo, Xiu Li*, and Sina Farsiu
In International Conference on Learning Representations (ICLR), 2025
S^2-Transformer for Mask-aware Hyperspectral Image Reconstruction
Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, and Zhiqiang Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Grounding-IQA: Multimodal Language Grounding Model for Image Quality Assessment
Zheng Chen, Xun Zhang, Wenbo Li, Renjing Pei, Fenglong Song, Xiongkuo Min, Xiaohong Liu, Xin Yuan, Yong Guo, and Yulun Zhang*
arXiv preprint arXiv:2411.17237 (arXiv), 2024
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment
Kai Liu†, Ziqing Zhang†, Wenbo Li, Renjing Pei, Fenglong Song, Xiaohong Liu, Linghe Kong*, and Yulun Zhang*
arXiv preprint arXiv:2410.02505 (arXiv), 2024
Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution
Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang*, Yong Guo, and Xiaokang Yang
arXiv preprint arXiv:2410.04224 (arXiv), 2024
Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging
Jiahua Dong, Hui Yin, Hongliu Li, Wenbo Li, Yulun Zhang*, Salman Khan, and Fahad Shahbaz Khan
arXiv preprint arXiv:2406.00449 (arXiv), 2024
Binarized Diffusion Model for Image Super-Resolution
Zheng Chen, Haotong Qin*, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, and Yulun Zhang*
In Advances in Neural Information Processing Systems (NeurIPS), 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong*, Guihai Chen, and Yulun Zhang*
In Advances in Neural Information Processing Systems (NeurIPS), 2024
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
Yuanhao Cai, Zihao Xiao, Yixuan Liang, Minghan Qin, Yulun Zhang*, Xiaokang Yang, Yaoyao Liu, and Alan Yuille
In Advances in Neural Information Processing Systems (NeurIPS), 2024
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, and Zhiqiang Tao
In Advances in Neural Information Processing Systems (NeurIPS), 2024
Real-world Image Dehazing with Coherence-based Label Generator and Cooperative Unfolding Network
Chengyu Fang, Chunming He, Fengyang Xiao, Yulun Zhang*, Longxiang Tang, Yuelin Zhang, Kai Li, and Xiu Li*
In Advances in Neural Information Processing Systems (NeurIPS), 2024
BiDM: Pushing the Limit of Quantization for Diffusion Models
Xingyu Zheng, Haotong Qin, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, and Xianglong Liu
In Advances in Neural Information Processing Systems (NeurIPS), 2024
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
Wei Dong, Han Zhou, Yulun Zhang, Xiaohong Liu, and Jun Chen
In Advances in Neural Information Processing Systems (NeurIPS), 2024
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang*, Xiaokang Yang, Zongwei Zhou*, and Alan Yuille
In European Conference on Computer Vision (ECCV), 2024
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
Xiang Zhang, Yulun Zhang*, and Fisher Yu
In European Conference on Computer Vision (ECCV Oral), 2024
SRPose: Two-view Relative Pose Estimation with Sparse Keypoints
Rui Yin, Yulun Zhang, Zherong Pan, Jianjun Zhu, Cheng Wang, and Biao Jia
In European Conference on Computer Vision (ECCV), 2024
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging
Ping Wang, Yulun Zhang, Lishun Wang, and Xin Yuan
In European Conference on Computer Vision (ECCV), 2024
Flexible Residual Binarization for Image Super-Resolution
Yulun Zhang†, Haotong Qin†, Zixiang Zhao, Xianglong Liu, Martin Danelljan, and Fisher Yu
In International Conference on Machine Learning (ICML), 2024
Lightweight Image Super-Resolution via Flexible Meta Pruning
Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, and Fisher Yu
In International Conference on Machine Learning (ICML), 2024
See More Details: Efficient Image Super-Resolution by Experts Mining
Eduard Zamfir, Zongwei Wu*, Nancy Mehta, Yulun Zhang*, and Radu Timofte
In International Conference on Machine Learning (ICML), 2024
Image Fusion via Vision-Language Model
Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang*, Haotong Qin, Dongdong Chen*, Jiangshe Zhang, Peng Wang, and Luc Van Gool
In International Conference on Machine Learning (ICML), 2024
Equivariant Multi-Modality Image Fusion
Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang*, Kai Zhang, Shuang Xu, Dongdong Chen*, Radu Timofte, and Luc Van Gool
In Computer Vision and Pattern Recognition (CVPR), 2024
Deep Equilibrium Diffusion Restoration with Parallel Sampling
Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, and Luc Van Gool
In Computer Vision and Pattern Recognition (CVPR), 2024
Binarized Low-light Raw Video Enhancement
Gengchen Zhang, Yulun Zhang, Xin Yuan, and Ying Fu
In Computer Vision and Pattern Recognition (CVPR), 2024
MuRF: Multi-Baseline Radiance Fields
Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, and Fisher Yu
In Computer Vision and Pattern Recognition (CVPR), 2024
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
Yijun Yang, Hongtao Wu, Angelica I Aviles-Rivero, Yulun Zhang, Jing Qin, and Lei Zhu
In Computer Vision and Pattern Recognition (CVPR), 2024
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
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
Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects
Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, and Fisher Yu
In International Conference on Learning Representations (ICLR), 2024
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, and Xiaokang Yang
In The AAAI Conference on Artificial Intelligence (AAAI), 2024
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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration
Miaoyu Li, Ying Fu, Tao Zhang, Ji Liu, Dejing Dou, Chenggang Yan, and Yulun Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
NTIRE 2024 challenge on image super-resolution (x4): Methods and results
Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang*, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, and others
In Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
