| Shadowdiffusion: When degradation prior meets diffusion model for shadow removal L Guo, C Wang, W Yang, S Huang, Y Wang, H Pfister, B Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 90 | 2023 |
| ShadowFormer: Global context helps shadow removal L Guo, S Huang, D Liu, H Cheng, B Wen Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 710-718, 2023 | 68* | 2023 |
| Rellie: Deep reinforcement learning for customized low-light image enhancement R Zhang, L Guo, S Huang, B Wen Proceedings of the 29th ACM international conference on multimedia, 2429-2437, 2021 | 51 | 2021 |
| Exposurediffusion: Learning to expose for low-light image enhancement Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 40 | 2023 |
| SinSR: diffusion-based image super-resolution in a single step Y Wang, W Yang, X Chen, Y Wang, L Guo, LP Chau, Z Liu, Y Qiao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 37 | 2024 |
| Frequency guidance matters in few-shot learning H Cheng, S Yang, JT Zhou, L Guo, B Wen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 28 | 2023 |
| Exploiting non-local priors via self-convolution for highly-efficient image restoration L Guo, Z Zha, S Ravishankar, B Wen IEEE Transactions on Image Processing 31, 1311-1324, 2022 | 21 | 2022 |
| Raw image reconstruction with learned compact metadata Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Self-convolution: A highly-efficient operator for non-local image restoration L Guo, Z Zha, S Ravishankar, B Wen ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 13 | 2021 |
| Make a cheap scaling: A self-cascade diffusion model for higher-resolution adaptation L Guo, Y He, H Chen, M Xia, X Cun, Y Wang, S Huang, Y Zhang, X Wang, ... European Conference on Computer Vision, 39-55, 2025 | 12 | 2025 |
| Multi-scale feature guided low-light image enhancement L Guo, R Wan, GM Su, AC Kot, B Wen 2021 IEEE International Conference on Image Processing (ICIP), 554-558, 2021 | 11 | 2021 |
| Boundary-aware divide and conquer: A diffusion-based solution for unsupervised shadow removal L Guo, C Wang, W Yang, Y Wang, B Wen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Benchmarking adversarial robustness of image shadow removal with shadow-adaptive attacks C Wang, Y Yu, L Guo, B Wen ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 7 | 2024 |
| Enhancing low-light images in real world via cross-image disentanglement L Guo, R Wan, W Yang, A Kot, B Wen arXiv preprint arXiv:2201.03145, 2022 | 7 | 2022 |
| Fino: Flow-based joint image and noise model L Guo, S Huang, H Liu, B Wen arXiv preprint arXiv:2111.06031, 2021 | 7 | 2021 |
| Beyond learned metadata-based raw image reconstruction Y Wang, Y Yu, W Yang, L Guo, LP Chau, AC Kot, B Wen International Journal of Computer Vision, 1-20, 2024 | 4 | 2024 |
| Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI C Wang, L Guo, Y Wang, H Cheng, Y Yu, B Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model Y Wang, Z Li, L Guo, W Yang, AC Kot, B Wen arXiv preprint arXiv:2405.20721, 2024 | 3 | 2024 |
| Towards robust image denoising via flow-based joint image and noise model L Guo, S Huang, H Liu, B Wen IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 3 | 2023 |
| sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model Z Fu, L Guo, B Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
Bihan WenNanyang Assistant Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
