New paper: Image Tokenizers Should Be Trained Between Images cuts artifacts, speeds training
ostrisai · x · 2026-10-15
A new paper from Ole Beisswenger and colleagues at University of Tübingen, "Image Tokenizers Should Be Trained Between Images," supervises the space between image codes rather than only within them. The result: far fewer artifacts between images, faster generator training, and better generation quality. Links in the original post.
Related event: Tübingen Paper: Image Tokenizers Should Be Trained Between Images(2 posts)→
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