2 papers
cs.AI2026
A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models
Duc Hao Pham, Van Duy Truong, Duy Khanh Dinh +3
Concept unlearning has emerged as a promising direction for reducing the risks of harmful content generation in text-to-image diffusion models by selectively erasing undesirable co…
cs.SD2025
O_O-VC: Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion
Huu Tuong Tu, Huan Vu, cuong tien nguyen +2
Traditional voice conversion (VC) methods typically attempt to separate speaker identity and linguistic information into distinct representations, which are then combined to recons…