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EMERGE: Resolution-Agnostic Point Cloud Generation with Equivariant Graph-Based Diffusion
Ilias Mitsouras, Nikolaos Chaidos, Giorgos Stamou +1
Point cloud generation has emerged as a crucial task for accurately capturing and reproducing the complexity of the physical world. However, existing generative approaches, predomi…
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…
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…
Mitigating Exposure Bias in Discriminator Guided Diffusion Models
Eleftherios Tsonis, Paraskevi Tzouveli, Athanasios Voulodimos
Diffusion Models have demonstrated remarkable performance in image generation. However, their demanding computational requirements for training have prompted ongoing efforts to enh…