Xiangtao Kong

According to our database, Xiangtao Kong authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration.

Xiangtao Kong, Jixin Zhao, Lingchen Sun, Rongyuan Wu, Lei Zhang

CoRR, May, 2026

VOSR: A Vision-Only Generative Model for Image Super-Resolution.

Rongyuan Wu, Lingchen Sun, Zhengqiang Zhang, Xiangtao Kong, Jixin Zhao, Shihao Wang, Lei Zhang

CoRR, April, 2026

HAT: Hybrid Attention Transformer for Image Restoration.

Xiangyu Chen, Xintao Wang, Wenlong Zhang, Xiangtao Kong, Yu Qiao, Jiantao Zhou, Chao Dong

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

2025

NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution.

Xiangtao Kong, Rongyuan Wu, Shuaizheng Liu, Lingchen Sun, Lei Zhang

CoRR, October, 2025

InstructRestore: Region-Customized Image Restoration with Human Instructions.

Shuaizheng Liu, Jianqi Ma, Lingchen Sun, Xiangtao Kong, Lei Zhang

CoRR, March, 2025

Toward Generalizing Visual Brain Decoding to Unseen Subjects.

Xiangtao Kong, Kexin Huang, Ping Li, Lei Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Training on the Benchmark Is Not All You Need.

Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu, Min Yang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Preliminary Exploration Towards General Image Restoration.

Xiangtao Kong, Jinjin Gu, Yihao Liu, Wenlong Zhang, Xiangyu Chen, Yu Qiao, Chao Dong

CoRR, 2024

Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy.

Xiangtao Kong, Chao Dong, Lei Zhang

CoRR, 2024

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.

Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models.

Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining.

Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Retiformer: Retinex-Based Enhancement In Transformer For Low-Light Image.

Junxiang Ruan, Xiangtao Kong, Wenqi Huang, Wenming Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

DegAE: A New Pretraining Paradigm for Low-Level Vision.

Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, Chao Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Reflash Dropout in Image Super-Resolution.

Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic.

Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep learning based emotion analysis of microblog texts.

Dongliang Xu, Zhihong Tian, Rufeng Lai, Xiangtao Kong, Zhiyuan Tan, Wei Shi

Inf. Fusion, 2020

Efficient Image Super-Resolution Using Pixel Attention.

Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.

Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020