LGQ: Learning Discretization Geometry for Scalable and Stable Image Tokenization
arXiv:2602.16086v2 Announce Type: replace Abstract: Discrete image tokenization is a key bottleneck for scalable visual generation: a tokenizer must remain compact for efficient latent-space priors while preserving semantic structure and using discrete capacity effectively. Ex...
🔗 Read more: https://arxiv.org/abs/2602.16086
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