2 papers
cs.CV2025
Data Augmentation Through Random Style Replacement
Qikai Yang, Cheng Ji, Huaiying Luo +2
In this paper, we introduce a novel data augmentation technique that combines the advantages of style augmentation and random erasing by selectively replacing image subregions with…
cs.CV2024
Enhance Image-to-Image Generation with LLaVA-generated Prompts
Zhicheng Ding, Panfeng Li, Qikai Yang +1
This paper presents a novel approach to enhance image-to-image generation by leveraging the multimodal capabilities of the Large Language and Vision Assistant (LLaVA). We propose a…