ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. - Xintao Wang 002; Ke Yu; Shixiang Wu; Jinjin Gu; Yihao Liu 001; Chao Dong 005; Yu Qiao 001; Chen Change Loy (ECCV Workshops (5), 2018)

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. - Xintao Wang 002; Ke Yu; Shixiang Wu; Jinjin Gu; Yihao Liu 001; Chao Dong 005; Chen Change Loy; Yu Qiao 001; Xiaoou Tang (CoRR, 2018)

RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution. - Wenlong Zhang; Yihao Liu 001; Chao Dong 005; Yu Qiao 001 (ICCV, 2019)

FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing. - Yu Dong; Yihao Liu 001; He Zhang 004; Shifeng Chen; Yu Qiao 001 (AAAI, 2020)

Conditional Sequential Modulation for Efficient Global Image Retouching. - Jingwen He; Yihao Liu 001; Yu Qiao 001; Chao Dong 005 (ECCV (13), 2020)

Enhanced Quadratic Video Interpolation. - Yihao Liu 001; Liangbin Xie; Siyao Li; Wenxiu Sun; Yu Qiao 001; Chao Dong 005 (ECCV Workshops (4), 2020)

AIM 2020 Challenge on Video Temporal Super-Resolution. - Sanghyun Son 002; Jaerin Lee; Seungjun Nah; Radu Timofte; Kyoung Mu Lee; Yihao Liu 001; Liangbin Xie; Siyao Li; Wenxiu Sun; Yu Qiao 001; Chao Dong 005; Woonsung Park; et al. (ECCV Workshops (4), 2020)

Residual and Dense UNet for Under-Display Camera Restoration. - Qirui Yang; Yihao Liu 001; Jigang Tang; Tao Ku (ECCV Workshops (5), 2020)

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results. - Yuqian Zhou; Michael Kwan; Kyle Tolentino; Neil Emerton; Sehoon Lim; Timothy A. Large; Lijiang Fu; Zhihong Pan 001; Baopu Li; Qirui Yang; Yihao Liu 001; Jigang Tang; et al. (ECCV Workshops (5), 2020)

HDRUNet: Single Image HDR Reconstruction With Denoising and Dequantization. - Xiangyu Chen 006; Yihao Liu 001; Zhengwen Zhang; Yu Qiao 001; Chao Dong 005 (CVPR Workshops, 2021)

Learn to Match: Automatic Matching Network Design for Visual Tracking. - Zhipeng Zhang; Yihao Liu 001; Xiao Wang 014; Bing Li 001; Weiming Hu (ICCV, 2021)

Color2Style: Real-Time Exemplar-Based Image Colorization with Self-Reference Learning and Deep Feature Modulation. - Hengyuan Zhao; Wenhao Wu; Yihao Liu 001; Dongliang He (CoRR, 2021)

Discovering "Semantics" in Super-Resolution Networks. - Yihao Liu 001; Anran Liu; Jinjin Gu; Zhipeng Zhang; Wenhao Wu; Yu Qiao 001; Chao Dong 005 (CoRR, 2021)

A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds. - Wenlong Zhang; Guangyuan Shi; Yihao Liu 001; Chao Dong 005; Xiao-Ming Wu 003 (CVPR Workshops, 2022)

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm. - Mingye Xu; Yali Wang 001; Yihao Liu 001; Yu Qiao 001 (CoRR, 2022)

Interactive Multi-Dimension Modulation for Image Restoration. - Jingwen He; Chao Dong 005; Yihao Liu 001; Yu Qiao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank. - Wenlong Zhang; Yihao Liu 001; Chao Dong 005; Yu Qiao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

DegAE: A New Pretraining Paradigm for Low-Level Vision. - Yihao Liu 001; Jingwen He; Jinjin Gu; Xiangtao Kong; Yu Qiao 001; Chao Dong 005 (CVPR, 2023)

Masked Image Training for Generalizable Deep Image Denoising. - Haoyu Chen 003; Jinjin Gu; Yihao Liu 001; Salma Abdel Magid; Chao Dong 005; Qiong Wang 001; Hanspeter Pfister; Lei Zhu 003 (CVPR, 2023)

Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation. - Xiangyu Chen 006; Zheyuan Li; Zhengwen Zhang; Jimmy S. Ren; Yihao Liu 001; Jingwen He; Yu Qiao 001; Jiantao Zhou 001; Chao Dong 005 (CoRR, 2023)

Very Lightweight Photo Retouching Network With Conditional Sequential Modulation. - Yihao Liu 001; Jingwen He; Xiangyu Chen 006; Zhengwen Zhang; Hengyuan Zhao; Chao Dong 005; Yu Qiao 001 (IEEE Trans. Multim., 2023)

Blind Image Super-Resolution: A Survey and Beyond. - Anran Liu; Yihao Liu 001; Jinjin Gu; Yu Qiao 001; Chao Dong 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm. - Mingye Xu; Yali Wang 001; Yihao Liu 001; Tong He 001; Yu Qiao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Two-branch crisscross network for realistic and accurate image super-resolution. - Qirui Yang; Yihao Liu 001; Jingyu Yang 002 (Displays, 2023)

Evaluating the Generalization Ability of Super-Resolution Networks. - Yihao Liu 001; Hengyuan Zhao; Jinjin Gu; Yu Qiao 001; Chao Dong 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity. - Shuo Cao; Yihao Liu 001; Wenlong Zhang; Yu Qiao 001; Chao Dong 005 (ECCV (70), 2024)

A Comparative Study of Image Restoration Networks for General Backbone Network Design. - Xiangyu Chen 006; Zheyuan Li; Yuandong Pu; Yihao Liu 001; Jiantao Zhou 001; Yu Qiao 001; Chao Dong 005 (ECCV (71), 2024)

Unifying Image Processing as Visual Prompting Question Answering. - Yihao Liu 001; Xiangyu Chen 006; Xianzheng Ma; Xintao Wang 002; Jiantao Zhou 001; Yu Qiao 001; Chao Dong 005 (ICML, 2024)

Learning A Low-Level Vision Generalist via Visual Task Prompt. - Xiangyu Chen 006; Yihao Liu 001; Yuandong Pu; Wenlong Zhang; Jiantao Zhou 001; Yu Qiao 001; Chao Dong 005 (ACM Multimedia, 2024)

A Preliminary Exploration Towards General Image Restoration. - Xiangtao Kong; Jinjin Gu; Yihao Liu 001; Wenlong Zhang; Xiangyu Chen 006; Yu Qiao 001; Chao Dong 005 (CoRR, 2024)

AdaptBIR: Adaptive Blind Image Restoration with latent diffusion prior for higher fidelity. - Yingqi Liu; Jingwen He; Yihao Liu 001; Xinqi Lin; Fanghua Yu; Jinfan Hu; Yu Qiao 001; Chao Dong 005 (Pattern Recognit., 2024)

Temporally consistent video colorization with deep feature propagation and self-regularization learning. - Yihao Liu 001; Hengyuan Zhao; Kelvin C. K. Chan; Xintao Wang 002; Chen Change Loy; Yu Qiao 001; Chao Dong 005 (Comput. Vis. Media, 2024)

Learning to See Low-Light Images via Feature Domain Adaptation. - Qirui Yang; Qihua Cheng; Huanjing Yue; Le Zhang; Yihao Liu 001; Jing-Yu Yang 002 (IEEE Trans. Image Process., 2025)

DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency. - Xiaohui Li; Yihao Liu 001; Shuo Cao; Ziyan Chen; Shaobin Zhuang; Xiangyu Chen 006; Yinan He; Yi Wang; Yu Qiao 001 (CoRR, 2025)

Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision. - Yuandong Pu; Le Zhuo; Kaiwen Zhu; Liangbin Xie; Wenlong Zhang; Xiangyu Chen 006; Peng Gao 007; Yu Qiao 001; Chao Dong 005; Yihao Liu 001 (CoRR, 2025)

DualX-VSR: Dual Axial Spatial⨉Temporal Transformer for Real-World Video Super-Resolution without Motion Compensation. - Shuo Cao; Yihao Liu 001; Xiaohui Li; Yuanting Gao; Yu Zhou; Chao Dong 005 (CoRR, 2025)

ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding. - Shuo Cao; Nan Ma; Jiayang Li; Xiaohui Li; Lihao Shao; Kaiwen Zhu; Yu Zhou; Yuandong Pu; Jiarui Wu; Jiaquan Wang; Bo Qu; Wenhai Wang; et al. (CoRR, 2025)

Exploring Scalable Unified Modeling for General Low-Level Vision. - Xiangyu Chen 006; Kaiwen Zhu; Yuandong Pu; Shuo Cao; Xiaohui Li; Wenlong Zhang; Yihao Liu 001; Yu Qiao 001; Jiantao Zhou 001; Chao Dong 005 (CoRR, 2025)