ChannelTok introduces channel-wise tokenization with stochastic tail-dropping to achieve rFID 2.92 on ImageNet at 8.6x faster decoding and 2.1x smaller size than prior flexible tokenizers.
Quantize-then-rectify: Efficient vq-vae training.arXiv preprint arXiv:2507.10547, 2025
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ChannelTok: Efficient Flexible-Length Vision Tokenization
ChannelTok introduces channel-wise tokenization with stochastic tail-dropping to achieve rFID 2.92 on ImageNet at 8.6x faster decoding and 2.1x smaller size than prior flexible tokenizers.