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How I Study AI - Learn AI Papers & Lectures the Easy Way

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All SourcesarXiv
#ImageNet 256ร—256

REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion

Intermediate
Giorgos Petsangourakis, Christos Sgouropoulos et al.Dec 18arXiv

Latent diffusion models are great at making images but learn the meaning of scenes slowly because their training goal mostly teaches them to clean up noise, not to understand objects and layouts.

#latent diffusion#REGLUE#representation entanglement

Bidirectional Normalizing Flow: From Data to Noise and Back

Intermediate
Yiyang Lu, Qiao Sun et al.Dec 11arXiv

Normalizing Flows are models that learn how to turn real images into simple noise and then back again.

#Normalizing Flow#Bidirectional Normalizing Flow#Hidden Alignment