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cs.CV2026
CrossFlowDG: Bridging the Modality Gap with Cross-modal Flow Matching for Domain Generalization
Antonios Kritikos, Nikolaos Spanos, Athanasios Voulodimos
Domain generalization (DG) aims to maintain performance under domain shift, which in computer vision appears primarily as stylistic variations that cause models to overfit to domai…
cs.CV2024
U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models
Ilias Mitsouras, Eleftherios Tsonis, Paraskevi Tzouveli +1
Diffusion models have demonstrated remarkable performance in text-to-image synthesis, producing realistic and high resolution images that faithfully adhere to the corresponding tex…