Lanqing Guo

Lanqing Guo (过岚清)

Postdoctoral Fellow,
The University of Texas at Austin, US

E-mail: lanqing001 [AT] e.ntu.edu.sg

About me

I'm a Postdoctoral Fellow in VITA group at The University of Texas at Austin (UT Austin), supervised by Prof. Zhangyang (Atlas) Wang. My research goal is to enable machine to create high-quality vision and multi-modality data.

Previously, I obtained my Ph.D degre (winner of the Best Thesis Award) from Nanyang Technological University (NTU), supervised by Prof. Bihan Wen. I received my B.Eng degree (2015-2019) in Software Engineering from Wuhan University.

News

2025/11	I serve as Area Chair for ICASSP 2026. Thanks for invitation!
2025/06	One paper got accepted for ICCV2025. Congratulations to all collaborators!
2025/02	Two papers got accepted for CVPR2025. Congratulations to all collaborators!
2024/12	Co-organize the 2nd Workshop on Efficient Large Vision Models, to CVPR 2025 Workshop
2024/07	Two papers got accepted for ECCV2024. Congratulations to all collaborators!
2024/04	I got the Best Thesis Award in NTU EEE 2024! Thanks~ 🥳
2024/03	Two papers got accepted for CVPR2024. Congratulations to all collaborators!
2024/01	I have passed the Ph.D. oral defence and become a Dr.! 🎉

Publications

ICCV 2025 Training-Free Text-Guided Image Editing with Visual Autoregressive Model
Yufei Wang, Lanqing Guo#, Zhihao Li, Jiaxing Huang, Pichao Wang, Bihan Wen, Jian Wang
IEEE, International Conference on Computer Vision (ICCV), 2025 PDF / Code

AAAI 2026 Oscillation Inversion: Training-free Image and Video Enhancement through Oscillated Latents in Large Flow Models
Yan Zheng, Zhenxiao Liang, Xiaoyan Cong, Yi Yang, Lanqing Guo, Yuehao Wang, Peihao Wang, Zhangyang Wang
The Association for the Advancement of Artificial Intelligence (AAAI), 2025 (Oral) PDF / Project Page

WACV 2026 FlowMorph: Revealing an Optimizable Flow Latent Space for Controlled Image Morphing
Yan Zheng, Yi Yang, Lanqing Guo, Zhangyang Wang
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025 PDF / Project Page

Preprint Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey
Lanqing Guo, Chong Wang, Yufei Wang, Siyu Huang, Wenhan Yang, Alex C. Kot, Bihan Wen
Arxiv, 2024 PDF / Code

Preprint HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts
Xinyu Liu, Yingqing He, Lanqing Guo, Xiang Li, Bu Jin, Peng Li, Yan Li, Chi-Min Chan, Qifeng Chen, Wei Xue, Wenhan Luo, Qingfeng Liu, Yike Guo
Arxiv, 2024 PDF / Project Page

CVPR 2025 Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan Yang, Hao Cheng, Alex Kot, Bihan Wen
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), 2025 PDF / Code

CVPR 2025 SoftShadow: Leveraging Penumbra-Aware Soft Masks for Shadow Removal
Xinrui Wang*, Lanqing Guo*, Xiyu Wang, Siyu Huang, Bihan Wen
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), 2025 PDF / Code

NeurIPS 2024 ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Mode
Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, Alex C. Kot, Bihan Wen
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 PDF / Code

ECCV 2024 Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
Lanqing Guo*, Yingqing He*, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen (* equal contribution)
European Conference on Computer Vision (ECCV), 2024 PDF / Code / Project Page

ECCV 2024 Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
Zixuan Fu, Lanqing Guo, Chong Wang, Yufei Wang, Zhihao Li, Bihan Wen
European Conference on Computer Vision (ECCV), 2024 PDF / Code

CVPR 2024 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Spotlight) PDF / Code

CVPR 2024 SinSR: Diffusion-Based Image Super-Resolution in a Single Step
Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 PDF / Code

ICCV 2023 Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang, Bihan Wen
IEEE, International Conference on Computer Vision (ICCV), 2023 PDF

ICCV 2023 ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
IEEE, International Conference on Computer Vision (ICCV), 2023 PDF / Code

CVPR 2023 ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 PDF / Code

CVPR 2023 sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model
Zixuan Fu*, Lanqing Guo*, Bihan Wen (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 PDF / Code

CVPR 2023 Raw Image Reconstruction with Learned Compact Metadata
Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 PDF / Code

TCSVT 2023 Towards Robust Image Denoising via Flow-based Joint Image and Noise Model
Lanqing Guo, Siyu Huang, Haosen Liu, Bihan Wen
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023 PDF

TCSVT 2023 Cross-Image Disentanglement for Low-Light Enhancement in Real World
Lanqing Guo, Renjie Wan, Wwenhan Yang, Alex Kot, Bihan Wen
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023 PDF / Code

AAAI 2023 ShadowFormer: Global Context Helps Image Shadow Removal
Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen
Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 PDF / Code

TIP 2022 Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration
Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen
IEEE Transactions on Image Processing (TIP), 2022 PDF / Code

ACM MM 2022 ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
Rongkai Zhang*, Lanqing Guo*, Siyu Huang, Bihan Wen (* equal contribution)
ACM International Conference on Multimedia (ACM MM), 2022 PDF / Code

ICASSP 2021 Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration
Lanqing Guo, zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 PDF / Code

ICIP 2021 Multi-Scale Feature Guided Low-Light Image Enhancemen
Lanqing Guo, Renjie Wan, Guan-Ming Su, Alex C. Kot, Bihan Wen
IEEE International Conference on Image Processing (ICIP), 2021 PDF

Experience

	2019.05—Present: PhD student in Nanyang Technological University
	2023.10—2024.04: AI Lab, Tencent Research Intern, supervised by Dr Yong Zhang
	2023.10—2024.04: DAMO Academy, Alibaba Research Intern, supervised by Prof Zhenxing Niu
	2018.12—2019.05: Multimedia Lab, SIAT, Research Intern, supervised by Prof Yu Qiao
	2015.05—2018.06: Undergraduate Research Assistant at Wuhan University

Academic Services

Review: ECCV'24, IJCV'24, CVIU'24, TCSVT'23, AAAI'23, ICASSP'22, ICME'22, ICIP'22, etc

Teaching Assistant: IE2018 Data Structure, EE4483 Art Intell & Data mining

Awards

2023	AAAI Student Travel Award, AAAI 2023
2019-Present	Research Scholarship, Nanyang Technological University
2020	First prize, Hualu Cup Data Lake Algorithm Competition (Lane detection track)
2016-2018	Excellent Student Scholarship, Wuhan University