3 papers
cs.CV2026
Unifying Deep Stochastic Processes for Image Enhancement
Wojciech KozÅowski, Wojciech Kozłowski, RadosÅaw KuczbaÅski +5
Deep stochastic processes have recently become a central paradigm for image enhancement, with many methods explicitly conditioning the stochastic trajectory on the degraded input.…
cs.CV2026
VIGIL: Tackling Hallucination Detection in Image Recontextualization
Joanna Wojciechowicz, Maria Åubniewska, Maria Łubniewska +8
We introduce VIGIL (Visual Inconsistency & Generative In-context Lucidity), a benchmark dataset and framework that provides a fine-grained categorization of hallucinations in the m…
eess.IV2025
SupResDiffGAN a new approach for the Super-Resolution task
Dawid KopeÄ, Wojciech KozÅowski, Maciej Wizerkaniuk +3
In this work, we present SupResDiffGAN, a novel hybrid architecture that combines the strengths of Generative Adversarial Networks (GANs) and diffusion models for super-resolution…