👋 About Me

I am Tian Ye, a PhD student at HKUST@ROAS Thrust and Co-founder@MeissonFlow Research. I am fortunate to be 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. Currently, I am closely working with Dr. Hongwei Yi (Founding Scientist@Hedra).

🔬 Research Interests

My research focuses on two key areas:

🎨

AIGC Technology

Supporting the art creation industry and digital asset generation through advances in AIGC (Artificial Intelligence Generated Content) technology

📸

Visual Quality

Exploring visual challenges in photography to create images with superior quality.

📝 Selected Papers

[🔥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
ICLR 2025 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
AAAI 2025
PDF | Project

[Real-world Restoration] PromptHaze: Prompting Real-world Dehazing via Depth Anything Model
Tian Ye, Sixiang Chen, Haoyu Chen, Wenhao Chai, Jingjing Ren, Zhaohu Xing, Wenxue Li, Lei Zhu
AAAI 2025

[Generative Image Restoration] Residual Diffusion Deblurring Model for Single Image Defocus Deblurring
Haoxuan feng, Haohui Zhou, Tian Ye, Sixiang Chen, Lei Zhu
AAAI 2025

[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&2025, ICCV 2023, CVPR 2024, ECCV 2024, ACM MM 2024, NeurIPS 2024, ICLR 2025, ICML 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.