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

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All SourcesarXiv
#Perceptual Loss

Image Generation with a Sphere Encoder

Beginner
Kaiyu Yue, Menglin Jia et al.Feb 16arXiv

The Sphere Encoder is a new way to make images fast by teaching an autoencoder to place all images evenly on a big imaginary sphere and then decode random spots on that sphere back into pictures.

#Sphere Encoder#Spherical Latent Space#RMS Normalization

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