5 papers
FOMO: Forget the Concept, Don't Miss Out on the Scene in Selective Video Unlearning
Łukasz Rudnik, Agnieszka Polowczyk, Alicja Polowczyk +1
The rapid advancement of generative video models has enabled the synthesis of increasingly realistic and temporally coherent videos, while also raising concerns about the generatio…
GenPlanner: From Noise to Plans -- Emergent Reasoning in Flow Matching and Diffusion Models
Agnieszka Polowczyk, Alicja Polowczyk, Michał Wieczorek
Path planning in complex environments is one of the key problems of artificial intelligence because it requires simultaneous understanding of the geometry of space and the global s…
DIAMOND: Directed Inference for Artifact Mitigation in Flow Matching Models
Alicja Polowczyk, Agnieszka Polowczyk, Piotr Borycki +3
Despite impressive results from recent text-to-image models like FLUX, visual and anatomical artifacts remain a significant hurdle for practical and professional use. Existing meth…
Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models
Agnieszka Polowczyk, Alicja Polowczyk, Joanna Waczyńska +2
The impressive capability of modern text-to-image models to generate realistic visuals has come with a serious drawback: they can be misused to create harmful, deceptive or unlawfu…
UnGuide: Learning to Forget with LoRA-Guided Diffusion Models
Agnieszka Polowczyk, Alicja Polowczyk, Dawid Malarz +4
Recent advances in large-scale text-to-image diffusion models have heightened concerns about their potential misuse, especially in generating harmful or misleading content. This un…