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Balancing Image Compression and Generation with Bootstrapped Tokenization

Chi, Haozhe et al.
arXiv (All) · Papers
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artificial-intelligencegraphicsmachine-learning
Despite progress in image tokenization, standard methods encode redundant information by mixing all granularities within each token, thus redundancy persists between tokens. The mix of information of different granularity also complicates the training of generators. This paper introduces SelfBootTok
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