Cao, Jiezhang

24 publications

CVPRW 2025 NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Xiaohong Liu, Xiongkuo Min, Qiang Hu, Xiaoyun Zhang, Jie Guo, Guangtao Zhai, Shushi Wang, Yingjie Zhou, Lu Liu, Jingxin Li, Liu Yang, Farong Wen, Li Xu, Yanwei Jiang, Xilei Zhu, Chunyi Li, Zicheng Zhang, Huiyu Duan, Xiele Wu, Yixuan Gao, Yuqin Cao, Jun Jia, Wei Sun, Jiezhang Cao, Radu Timofte, Baojun Li, Jiamian Huang, Dan Luo, Tao Liu, Weixia Zhang, Bingkun Zheng, Junlin Chen, Ruikai Zhou, Meiya Chen, Yu Wang, Hao Jiang, Xiantao Li, Yuxiang Jiang, Jun Tang, Yimeng Zhao, Bo Hu, Zelu Qi, Chaoyang Zhang, Fei Zhao, Ping Shi, Lingzhi Fu, Heng Cong, Shuai He, Rongyu Zhang, Jiarong He, Zongyao Hu, Wei Luo, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen, Mengjing Su, Yi Wang, Tuo Chen, Chunxiao Li, Shuaiyu Zhao, Jiaxin Wen, Chuyi Lin, Sitong Liu, Ningxin Chu, Jing Wan, Yu Zhou, Baoying Chen, Jishen Zeng, Jiarui Liu, Xianjin Liu, Xin Chen, Lanzhi Zhou, Hangyu Li, You Han, Bibo Xiang, Zhenjie Liu, Jianzhang Lu, Jialin Gui, Renjie Lu, Shangfei Wang, Donghao Zhou, Jingyu Lin, Quanjian Song, Jiancheng Huang, Yufeng Yang, Changwei Wang, Shupeng Zhong, Yang Yang, Lihuo He, Jia Liu, Yuting Xing, Tida Fang, Yuchun Jin

ICML 2025 One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang

AAAI 2025 Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution Luoqian Jiang, Yong Guo, Bingna Xu, Haolin Pan, Jiezhang Cao, Wenbo Li, Jian Chen

NeurIPS 2025 Unleashing the Power of One-Step Diffusion Based Image Super-Resolution via a Large-Scale Diffusion Discriminator Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang

ICCV 2025 Who Is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads Yingjie Zhou, Jiezhang Cao, Zicheng Zhang, Farong Wen, Yanwei Jiang, Jun Jia, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai

CVPR 2024 Deep Equilibrium Diffusion Restoration with Parallel Sampling Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool

CVPR 2024 DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen

CVPR 2024 Dual Prior Unfolding for Snapshot Compressive Imaging Jiancheng Zhang, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao

NeurIPS 2024 MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu

CVPR 2024 Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen, Hiep Luong, Wilfried Philips

CVPR 2023 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, Luc Van Gool

CVPRW 2023 Denoising Diffusion Models for Plug-and-Play Image Restoration Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool

CVPR 2023 Event-Based Frame Interpolation with Ad-Hoc Deblurring Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool

CVPRW 2023 LSDIR: A Large Scale Dataset for Image Restoration Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool

NeurIPS 2022 Recurrent Video Restoration Transformer with Guided Deformable Attention Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc V Gool

ECCV 2022 Reference-Based Image Super-Resolution with Deformable Attention Transformer Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool

ECCV 2022 Towards Interpretable Video Super-Resolution via Alternating Optimization Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool

MLJ 2022 Towards Interpreting Deep Neural Networks via Layer Behavior Understanding Jiezhang Cao, Jincheng Li, Xiping Hu, Xiangmiao Wu, Mingkui Tan

ICCVW 2021 SwinIR: Image Restoration Using Swin Transformer Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte

ECCV 2020 Generative Low-Bitwidth Data Free Quantization Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan

NeurIPS 2019 Multi-Marginal Wasserstein GAN Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan

AAAI 2019 Oversampling for Imbalanced Data via Optimal Transport Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu

ICML 2018 Adversarial Learning with Local Coordinate Coding Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

ACML 2017 On the Flatness of Loss Surface for Two-Layered ReLU Networks Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan