๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐ŸงฉProblems๐ŸŽฏPrompts๐Ÿง Review
Search
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers1

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#High-dimensional Codebook

VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction

Intermediate
Sinan Du, Jiahao Guo et al.Nov 28arXiv

VQRAE is a new kind of image tokenizer that lets one model both understand images (continuous features) and generate/reconstruct them (discrete tokens).

#VQRAE#Vector Quantization#Representation Autoencoder