


ByteDouBao's new image Tokenizer: only 32 tokens are needed to generate an image, and the speed is increased by up to 410 times.

The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com
Paper link: https://arxiv.org/abs/2406.07550 Project link: https://yucornetto.github.io/projects/titok.html Code link: https://github.com/bytedance/1d-tokenizer
The structure of TiTok is very simple. The encoder and decoder parts are each a ViT. During the encoding process, a set of latent tokens will be spliced after the image patches. After passing through the encoder, only the latent tokens are retained and the quantization process is performed. The obtained quantized latent tokens will be spliced together with a set of mask tokens and sent to the decoder to reconstruct the image from the mask token sequence.
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