Jialing Cai — accepted AI-conference papers

2024

Exposing Text-Image Inconsistency Using Diffusion Models

Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu

ICLR 2024poster

In the battle against widespread online misinformation, a growing problem is text-image inconsistency, where images are misleadingly paired with texts with different intent or meaning. Existing classification-based methods for text-image inconsistency can identify contextual inconsistencies but fail…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2024

ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping

Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu

NeurIPS 2024poster

Text-driven image synthesis has made significant advancements with the development of diffusion models, transforming how visual content is generated from text prompts. Despite these advances, text-driven image editing, a key area in computer graphics, faces unique challenges. A major challenge is ma…

Cited by 2 Source ↗PDF ↗Scholar ↗