3 papers
cs.CV2026
Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models
Katarzyna Zaleska, Łukasz Popek, Monika Wysoczańska +1
Text-to-image diffusion models exhibit remarkable generative capabilities, yet their internal operations remain opaque, particularly when handling prompts that are not fully descri…
cs.SD2026
TADA! Tuning Audio Diffusion Models through Activation Steering
Łukasz Staniszewski, Katarzyna Zaleska, Mateusz Modrzejewski +1
Audio diffusion models can synthesize high-fidelity music from text, yet achieving fine-grained control over specific musical attributes remains challenging, as their internal mech…
cs.LG2024
Low-Rank Continual Personalization of Diffusion Models
Łukasz Staniszewski, Katarzyna Zaleska, Kamil Deja
Recent personalization methods for diffusion models, such as Dreambooth and LoRA, allow fine-tuning pre-trained models to generate new concepts. However, applying these techniques…