I am Tian Ye, Co-founder@MeissonFlow Research, and also a PhD student at HKUST@ROAS Thrust, supervised by Prof. Lei Zhu and Prof. Kan, Ge Lin. I was honored to be supervised and collaborated with Prof. Erkang Chen and Prof. Yun Liu during my undergraduate studies.

📝 Selected Papers

My research revolves around three key areas: (I) Supporting the art creation industry and digital asset generation through advances in AIGC (Artificial Intelligence Generated Content) technology. (II) Exploring visual challenges in photography to create images with superior quality. (III) Addressing real-world image restoration and enhancement by identifying and overcoming the limitations of existing methods.

[🔥Foundational Generation Model🔥]🔥🔥🔥Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Jinbin Bai*, Tian Ye*, Wei Chow, Enxin Song, Qing-Guo Chen, Xiangtai Li, Zhen Dong, Lei Zhu, Shuicheng Yan
Arxiv 2024 The first SDXL Level, High-Resolution Non-AR T2I Model!
PDF | Project | HF Model | Adina Yakup@Twitter

[Generative Image Enhancement] AGLLDiff : Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
Yunlong Lin*, Tian Ye*, Sixiang Chen*, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu and Xinghao Ding
Arxiv 2024
PDF | Project

[Generative Image Restoration] Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
Sixiang Chen, Tian Ye, Kai Zhang, Zhaohu Xing, Yunlong Lin, and Lei Zhu
ECCV 2024
PDF | Project | code

[Video Restoration] Triplane-Smoothed Video Dehazing with CLIP-Enhanced Generalization
Jingjing Ren, Haoyu Chen, Tian Ye, Hongtao Wu and Lei Zhu
IJCV 2024
PDF

[Medical Image Seg] SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu and Lei Zhu
MICCAI 2024 Selected as a Spotlight presentation paper (about 20 of 2,869 valid submissions) and Early Accepted by MICCAI. Don't need rebuttal!
PDF | code

[Generative Model For IR] Learning Diffusion Texture Priors for Image Restoration
Tian Ye, Sixiang Chen, Wenhao Chai, Zhaohu Xing, Jing Qin, Ge Lin, Lei Zhu.
CVPR Highlight 2024 Selected as a Highlight presentation paper (324 of 11,532 valid submissions).
PDF | CVPR Poster

[Generative Model For IR] VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
Wenbin Zou, Hongxia Gao, Tian Ye, Liang Chen, Weipeng Yang, Shasha Huang, Hongsheng Chen, Sixiang Chen
AAAI 2024
PDF | Code

[Image Restoration] Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
Sixiang Chen*,Tian Ye*, Jinbin Bai, Jun Shi, Erkang Chen, Lei Zhu.
ICCV 2023
PDF | Code | Project

[Generative Model For IR] Adverse Weather Removal with Codebook Priors
Tian Ye*, Sixiang Chen*, Jinbin Bai*, Shi Jun, Chenghao Xue, Jingjia Jiang, Junjie Yin, Erkang Chen, Yun Liu.
ICCV 2023
PDF | Code

[Image Restoration] Uncertainty-Driven Dynamic Degradation Perceiving and Background Modeling for Efficient Single Image Desnowing
SiXiang Chen*, Tian Ye*, Chenghao Xue, Haoyu Chen, Yun Liu, Erkang Chen, Lei Zhu
ACM Multimedia (ACM MM) 2023
PDF | Code

[Image Restoration] Perceiving and Modeling Density for Image Dehazing
Tian Ye*, Yunchen Zhang*, Mingchao Jiang*, Liang Chen, Yun Liu, Erkang Chen.
ECCV Oral, 2022. Selected as a Oral presentation paper (Top 2.7%, 158 of 5,803 valid submissions).
PDF | Code

Mentoring

I am very lucky to work with the following talented students:

[Song Fei], Mphil Student@HKUST(GZ).
[Haoxuan Feng], Mphil Student@HKUST(GZ).
[Chenghao Xue], Now MSc Student@UC Davis.
[Jingxia Jiang], Now PhD Student@NC State.

🎖 Competitions & Awards

Outstanding Reviewer, BMVC 2024.
PG scholarship of HKUST(GZ), 2024.
2022 CVPR NAS Competition Supernet Track: Third Place Solution of Track 1
2022 JMU Student Star Award (20/19000)

💬 Academic Services

Conference Reviewer: ACCV 2022&2024, WACV 2023&2024, BMVC 2023&2024, AAAI 2022&2023&2024, ICCV 2023, CVPR 2024, ECCV 2024, ACM MM 2024, NeurIPS 2024, ICLR 2025.
Workshop Competition Organizer: LOVEU@CVPR 2024
Journal Reviewer:
International Journal of Computer Vision
IEEE Signal Processing Letter
IEEE Journal of Oceanic Engineering

📖 Educations&Experience

Aug’2024-Present: PhD Student, The Hong Kong University of Science and Technology, Guangzhou.
Jun’2023-Jul’2024: Research Assistant, The Hong Kong University of Science and Technology, Guangzhou.
Sep’2019-Jul’2023: B.Eng (Telecommunication Engineering), Jimei University, Xiamen.

Let's GO Beyond Definition!