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All SourcesarXiv
#Vision Transformer

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

One-step Latent-free Image Generation with Pixel Mean Flows

Beginner
Yiyang Lu, Susie Lu et al.Jan 29arXiv

This paper shows how to make a whole picture in one go, directly in pixels, without using a hidden β€œlatent” space or many tiny steps.

#pixel MeanFlow#one-step generation#x-prediction

Ministral 3

Beginner
Alexander H. Liu, Kartik Khandelwal et al.Jan 13arXiv

Ministral 3 is a new family of small-but-mighty AI language models (3B, 8B, 14B) that learn from a larger model using a step-by-step tutoring method called Cascade Distillation.

#Cascade Distillation#Model pruning#Logit distillation