2 papers
cs.CV2026
Towards LLM-centric Affective Visual Customization via Efficient and Precise Emotion Manipulating
Jiamin Luo, Xuqian Gu, Jingjing Wang +1
Previous studies on visual customization primarily rely on the objective alignment between various control signals (e.g., language, layout and canny) and the edited images, which l…
cs.SD2025
TAIL: Text-Audio Incremental Learning
Yingfei Sun, Xu Gu, Wei Ji +3
Many studies combine text and audio to capture multi-modal information but they overlook the model's generalization ability on new datasets. Introducing new datasets may affect the…