| Pipal: a large-scale image quality assessment dataset for perceptual image restoration G Jinjin, C Haoming, C Haoyu, Y Xiaoxing, JS Ren, D Chao European Conference on Computer Vision (ECCV), 2020, 633-651, 2020 | 207* | 2020 |
| Attention in attention network for image super-resolution H Chen, J Gu, Z Zhang arXiv preprint arXiv:2104.09497, 2021 | 116 | 2021 |
| Masked Image Training for Generalizable Deep Image Denoising H Chen, J Gu, Y Liu, SA Magid, C Dong, Q Wang, H Pfister, L Zhu Computer Vision and Pattern Recognition (CVPR), 2023, 1692-1703, 2023 | 71 | 2023 |
| Image quality assessment for perceptual image restoration: A new dataset, benchmark and metric J Gu, H Cai, H Chen, X Ye, J Ren, C Dong arXiv preprint arXiv:2011.15002, 2020 | 49 | 2020 |
| CoSeR: Bridging Image and Language for Cognitive Super-Resolution H Sun, W Li, J Liu, H Chen, R Pei, X Zou, Y Yan, Y Yang Computer Vision and Pattern Recognition (CVPR), 2024, 2023 | 32 | 2023 |
| AIM 2020 challenge on video extreme super-resolution: Methods and results D Fuoli, Z Huang, S Gu, R Timofte, A Raventos, A Esfandiari, S Karout, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 26 | 2020 |
| Crafting training degradation distribution for the accuracy-generalization trade-off in real-world super-resolution R Zhang, J Gu, H Chen, C Dong, Y Zhang, W Yang International conference on machine learning, 41078-41091, 2023 | 23 | 2023 |
| Snow Removal in Video: A New Dataset and A Novel Method H Chen, J Ren, J Gu, H Wu, X Lu, H Cai, L Zhu International Conference on Computer Vision (ICCV), 2023, 13211-13222, 2023 | 17 | 2023 |
| Mask-Guided Progressive Network for Joint Raindrop and Rain Streak Removal in Videos H Wu, Y Yang, H Chen, J Ren, L Zhu Proceedings of the 31st ACM International Conference on Multimedia, 7216-7225, 2023 | 13 | 2023 |
| Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning H Chen, W Li, J Gu, J Ren, H Sun, X Zou, Z Zhang, Y Yan, L Zhu Computer Vision and Pattern Recognition (CVPR), 2024, 2024 | 10 | 2024 |
| Uncertainty-Driven Dynamic Degradation Perceiving and Background Modeling for Efficient Single Image Desnowing S Chen, T Ye, C Xue, H Chen, Y Liu, E Chen, L Zhu Proceedings of the 31st ACM International Conference on Multimedia, 4269-4280, 2023 | 10 | 2023 |
| Ultrapixel: Advancing ultra-high-resolution image synthesis to new peaks J Ren, W Li, H Chen, R Pei, B Shao, Y Guo, L Peng, F Song, L Zhu Neural Information Processing Systems (NeurIPS), 2024, 2024 | 7 | 2024 |
| CPLFormer: Cross-scale Prototype Learning Transformer for Image Snow Removal S Chen, T Ye, Y Liu, J Bai, H Chen, Y Lin, J Shi, E Chen Proceedings of the 31st ACM International Conference on Multimedia, 4228-4239, 2023 | 6 | 2023 |
| Super-resolution perception for industrial sensor data J Gu, H Chen, G Liu, G Liang, X Wang, J Zhao arXiv preprint arXiv:1809.06687, 2018 | 5 | 2018 |
| Towards flexible, scalable, and adaptive multi-modal conditioned face synthesis J Ren, C Xu, H Chen, X Qin, L Zhu arXiv preprint arXiv:2312.16274, 2023 | 3 | 2023 |
| Triplane-Smoothed Video Dehazing with CLIP-Enhanced Generalization J Ren, H Chen, T Ye, H Wu, L Zhu International Journal of Computer Vision, 1-14, 2024 | 2 | 2024 |
| RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models H Chen, W Li, J Gu, J Ren, S Chen, T Ye, R Pei, K Zhou, F Song, L Zhu Neural Information Processing Systems (NeurIPS), 2024, 2024 | 2 | 2024 |
| Semi-supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization H Wu, Y Yang, AI Aviles-Rivero, J Ren, S Chen, H Chen, L Zhu European Conference on Computer Vision, 70-89, 2024 | | 2024 |
Jinjin GUOn the market確認したメール アドレス: sydney.edu.au