Wenbo LI 李文博

Biography

I am a research scientist at Huawei Noah's Ark Lab. Prior to that, I completed my Ph.D. in the CSE Department at the Chinese University of Hong Kong in 2023, under the supervision of Prof. Jiaya Jia. I received my Bachelor and Master degrees from Shanghai Jiao Tong University. My research interests lie primarily in AIGC and low-level vision.

Update

Two papers are accepted by NeurIPS 2024.
We propose RestoreAgent, an intelligent image restoration system leveraging multimodal large language models.
We propose ControlNeXt for efficient controllable image/video generation (SD1.5, SDXL, SD3 and SVD).
We propose UltraPixel for photorealistic 1K-6K T2I/controllable/personalized generation.
One paper is accepted by ECCV 2024.
Three papers are accepted by CVPR 2024.
Our MAT is selected in the CVPR 2022 Best Paper Finalists.

Selected Publications [Google Scholar]

	Image Inpainting via Iteratively Decoupled Probabilistic Modeling Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin, Jiaya Jia International Conference on Learning Representations (ICLR) 2024 (Spotlight) [paper\|code]
	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer Kun Zhou, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [project\|paper\|code]
	On Efficient Transformer-Based Image Pre-training for Low-level Vision Wenbo Li, Xin Lu, Jiangbo Lu, Xiangyu Zhang, Jiaya Jia International Joint Conference on Artificial Intelligence (IJCAI) 2023 [paper\|code]
	MAT: Mask-Aware Transformer for Large Hole Image Inpainting Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Best Paper Finalists, Oral) [paper\|code\|Media Report\|Slides\|Poster]
	Revisiting Temporal Alignment for Video Restoration Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [paper\|code]
	Best-Buddy GANs for Highly Detailed Image Super-Resolution Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu, Jiaya Jia Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022 (Oral) [paper\|code]
	MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution Liying Lu, Wenbo Li, Xin Tao, Jiangbo Lu, Jiaya Jia IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 [paper\|code]
	LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia Advances in Neural Information Processing Systems (NeurIPS) 2020 [paper\|code]
	MuCAN: Multi-correspondence Aggregation Network for Video Super-Resolution Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia European Conference on Computer Vision (ECCV) 2020 [paper\|code]
	Rethinking on multi-stage networks for human pose estimation Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu, Hongtao Lu, Yichen Wei, Jian Sun Champion of ECCV 2018 COCO Keypoint Detection Challenge [paper\|code]

Honors and Awards

Champion of AIM 2019 Challenge on Video Extreme Super-Resolution
Chanpion of ECCV 2018 COCO Keypoint Detection Challenge
Outstanding Graduate, SJTU
Academic Excellence Scholarship, SJTU
Wish Enterprise Scholarship, SJTU
Fushou Li Enterprise Scholarship, SJTU

Academic Service

Journal Reviewer:

Conference Reviewer:

	Image Inpainting via Iteratively Decoupled Probabilistic Modeling Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin, Jiaya Jia International Conference on Learning Representations (ICLR) 2024 (Spotlight) [paper\|code]
	NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer Kun Zhou, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [project\|paper\|code]
	On Efficient Transformer-Based Image Pre-training for Low-level Vision Wenbo Li, Xin Lu, Jiangbo Lu, Xiangyu Zhang, Jiaya Jia International Joint Conference on Artificial Intelligence (IJCAI) 2023 [paper\|code]
	MAT: Mask-Aware Transformer for Large Hole Image Inpainting Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Best Paper Finalists, Oral) [paper\|code\|Media Report\|Slides\|Poster]
	Revisiting Temporal Alignment for Video Restoration Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 [paper\|code]
	Best-Buddy GANs for Highly Detailed Image Super-Resolution Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu, Jiaya Jia Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022 (Oral) [paper\|code]
	MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution Liying Lu, Wenbo Li, Xin Tao, Jiangbo Lu, Jiaya Jia IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 [paper\|code]
	LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia Advances in Neural Information Processing Systems (NeurIPS) 2020 [paper\|code]
	MuCAN: Multi-correspondence Aggregation Network for Video Super-Resolution Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia European Conference on Computer Vision (ECCV) 2020 [paper\|code]
	Rethinking on multi-stage networks for human pose estimation Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu, Hongtao Lu, Yichen Wei, Jian Sun Champion of ECCV 2018 COCO Keypoint Detection Challenge [paper\|code]