Liangbin Xie

Ph.D. Student

Xpixel Group
University of Macau

Email: lb.xie [at] siat.ac.cn

Biography

I am currently a jointly second-year (2022-now) Ph.D. student in University of Macau (UM) and Shenzhen Institute of Advanced Technology (SIAT) Chinese Academy of Sciences, under the supervision of Prof. Jiantao Zhou and Prof. Chao Dong. Before that, I received master's degree in University of Chinese Academy of Sciences in 2022, under the supervision of Prof. Chao Dong.

My research interests lie in AIGC, especially in Image Generation/Editing.

News

2024 April: SmartEdit was selected as Highlight in CVPR 2024.
2024 Feb: SmartEdit was accepted by CVPR 2024.
2023 Dec: One paper was accepted by AAAI 2024.
2023 April: One paper was accepted by ICML 2023.
2022 Nov: One paper was accepted by AAAI 2023.
2022 Sept: One paper was accepted by NeurIPS 2022.
2022 July: One paper was accepted by ECCV 2022 as oral (2.7%).
2021 Dec: One paper was accepted by NeurIPS 2021 as spotlight (2.85%).
2020 Aug: EQVI, won the AIM 2020 Challenge on Video Temporal Super-Resolution.

Publications

	SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models Yuzhou Huang, Liangbin Xie, Xintao Wang, Ziyang Yuan, Xiaodong Cun, Yixiao Ge, Jiantao Zhou, Chao Dong, Rui Huang, Ruimao Zhang and Ying Shan. IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2024. [paper] [code]
	StyleAdapter: A Single-Pass LoRA-Free Model for Stylized Image Generation Zhouxia Wang, Xintao Wang, Liangbin Xie, Zhongang Qi, Ying Shan, Wenping Wang and Ping Luo. Arxiv, 2023. [paper]
	T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, Ying Shan and Xiaohu Qie. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024. [paper] [code]
	DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models Liangbin Xie, Xintao Wang, Xianyu Chen, Gen Li, Ying Shan, Jiantao Zhou and Chao Dong. International Conference on Machine Learning (ICML),* 2023. [paper] [code]
	Mitigating Artifacts in Real-World Video Super-Resolution Models Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong and Ying Shan. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023. [paper] [code]
	Rethinking Alignment in Video Super-Resolution Transformers Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, and Chao Dong Advances in Neural Information Processing Systems (NIPS), 2022. [paper] [code]
	VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan and Ming-Ming Cheng. European Conference on Computer Vision (ECCV), 2022. [project] [paper] [code]
	VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution Liangbin Xie, Xintao Wang, Honglun Zhang, Chao Dong and Ying Shan Computer Vision and Pattern Recognition Workshops (CVPRW), 2022. [paper] [project page]
	Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution Liangbin Xie, Xintao Wang, Chao Dong, Zhongang Qi and Ying Shan. Advances in Neural Information Processing Systems (NIPS), 2021. [paper] [code]
	Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang, Liangbin Xie, Chao Dong and Ying Shan. International Conference on Computer Vision Workshops (ICCVW), 2021. [paper] [code]
	Enhanced Quadratic Video Interpolation Yihao Liu, Liangbin Xie, Li Siyao, Wenxiu Sun, Yu Qiao and Chao Dong. European Conference on Computer Vision Workshops (ECCVW), 2020. [paper] [code]