AI RESEARCH
MacTok: Robust Continuous Tokenization for Image Generation
arXiv CS.AI
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ArXi:2603.29634v1 Announce Type: cross Continuous image tokenizers enable efficient visual generation, and those based on variational frameworks can learn smooth, structured latent representations through KL regularization. Yet this often leads to posterior collapse when using fewer tokens, where the encoder fails to encode informative features into the compressed latent space. To address this, we