Reference-Guided Image Tone Editing
Developed ICTone to explore semantic-aware image tone editing from a reference image through diffusion-based generation.
I am currently pursuing an M.S. degree at the College of Computer Science, Nankai University, under the supervision of Prof. Xiang Li, whose insightful guidance has greatly shaped my research interests and approach.
Prior to that, I received my B.E. degree from Central South University in 2024, where I was honored as an Outstanding Graduate. During my undergraduate studies, I had the privilege of working with Prof. Shichao Kan, who taught me how to approach research problems and introduced me to the world of computer vision.
I believe intelligence is inherently multimodal. Models should be able not only to understand the world, but also to think in vision. Intelligent models should unify visual representation, visual reasoning, and visual generation, bridging understanding, thinking, and creation.
My research experience spans visual retrieval, reference-guided image tone editing, and expressive talking-face generation. Across these projects, I have primarily explored diffusion-based generation and representation learning.
Developed ICTone to explore semantic-aware image tone editing from a reference image through diffusion-based generation.
Studied object retrieval for outside-knowledge VQA and developed MS-GCEL for long-tailed visual retrieval.
Developed VAExpress to explore expressive talking-face generation with audio-aligned facial expressions.
A diffusion framework for reference-guided image tone editing that transfers semantically corresponding tones from a reference image through in-context generation.
Introduces object retrieval for outside-knowledge VQA and MS-GCEL, an unsupervised multi-scale collaborative embedding method for robust retrieval of long-tailed objects.
A practical study on expressive talking-face generation that transforms a single portrait and an audio clip into a natural video with audio-aligned facial expressions.
Time: 2024.09 — Present
Time: 2020.09 — 2024.06
Central South University
The 16th Chinese Collegiate Computing Competition
Central South University