2 papers
cs.CV2026
APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment
Caterina Gallegati, Monica Bianchini, Franco Scarselli +2
As generative models achieve unprecedented visual quality, the gold standard for image evaluation remains traditional feature-distribution metrics (e.g., FID). However, these metri…
cs.CV2024
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models
Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon +3
Foundation models have exhibited unprecedented capabilities in tackling many domains and tasks. Models such as CLIP are currently widely used to bridge cross-modal representations,…