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An 8x token reduction and 11.1x latency improvement in video generation is achieved by training autoencoders that are generation-aware, not just reconstruction-aware.
Adaptive tokenization in KATok allows for unprecedented compression ratios in video representation without sacrificing quality, challenging the status quo of fixed compression methods.
