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Ioannis Kakogeorgiou

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#diffusion models Open access Oct 2026

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion

Latent diffusion models (LDMs) achieve state-of-the-art image synthesis, yet their reconstruction-style denoising objective provides only indirect semantic supervision: high-level semantics emerge slowly, requiring longer training and limiting sample quality. Recent works inject semantics from Vision Foundation Models...

Giorgos Petsangourakis, Christos Sgouropoulos, Bill Psomas et al. · 0 citations
#diffusion models Open access Oct 2026

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion

Latent diffusion models (LDMs) achieve state-of-the-art image synthesis, yet their reconstruction-style denoising objective provides only indirect semantic supervision: high-level semantics emerge slowly, requiring longer training and limiting sample quality. Recent works inject semantics from Vision Foundation Models...

Giorgos Petsangourakis, Christos Sgouropoulos, Bill Psomas et al. · 0 citations

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