I am currently a 1st year PhD student in the Department of Computer Science and Engineering, Chinese University of Hong Kong, advised by Prof. Jiaya Jia. Previously, I received my master degree from Tsinghua University in 2023, advised by Prof. Wenming Yang. During my study in Tsinghua University, I spent a good time with prof. Yapeng Tian, prof. Yulun Zhang, prof. Radu Timofte, and prof. Luc Van Gool. Before that, I obtained my B.E degree from Xidian University in 2020.

Recently, my research interests focus on generative models and LLM. Previously, I focused on low-level vision and model compression.

News

• 2023.11 We release Multimodal Large Language Model based Generation Assistant (LLMGA).
• 2023.09 1 papers are accepted by NeurIPS 2023 (Soptlight).
• 2023.10 We release DiffI2I.
• 2023.07 1 papers are accepted by ICCV 2023.
• 2023.06 1 papers are accepted by TIP.
• 2023.02 1 papers are accepted by CVPR 2023.
• 2023.01 2 papers are accepted by ICLR 2023.
• 2021.12 2 papers are accepted by AAAI 2022.

Publications

arxiv

LLMGA: Multimodal Large Language Model based Generation Assistant

Bin Xia, Shiyin Wang, Yingfan Tao, Yitong Wang, Jiaya Jia

[Paper]  [Code]

arxiv

DiffI2I: Efficient Diffusion Model for Image-to-Image Translation

Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timotfe, Luc Van Gool

[Paper]  [Code]

NeurIPS2023

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, and Xin Yuan

[Paper]  [Code]

ICCV2023

DiffIR: Efficient diffusion model for image restoration

Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool

[Paper]  [Code]

CVPR2023

Structured Sparsity Learning for Efficient Video Super-Resolution

Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Luc Van Gool

[Paper]  [Code]

ICLR2023

Basic Binary Convolution Unit for Binarized Image Restoration Network

Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool

[Paper]  [Code]

ICLR2023

Knowledge Distillation based Degradation Estimation for Blind Super-Resolution

Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool

[Paper]  [Code]

TIP2022

Meta-learning based degradation representation for blind super-resolution

Bin Xia, Yapeng Tian, Yulun Zhang, Yucheng Hang, Wenming Yang, Qingmin Liao

[Paper]  [Code]

AAAI2022

Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution

Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou

[Paper]  [Code]

AAAI2022

Efficient Non-Local Contrastive Attention for Image Super-Resolution

Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou

[Paper]  [Code]

Honors and Awards

• 2023.07, Excellent Graduate of Tsinghua University
• 2023.07, Excellent Master Thesis Award, Tsinghua University
• 2023.05, Outstanding Reviewer Award at CVPR
• 2023.05, First Prize in Internship Award of Tsinghua University
• 2022.10, National Scholarship, Tsinghua University
• 2020.07, Excellent Graduate of Xidian University
• 2018.10, National Scholarship, Xidian University

Services

Conference Reviewer: CVPR, ICLR, ICCV, NeurIPS, AAAI, WACV

Journal Reviewer: TIP, IJCV, TNNLS, TMM, TCSVT