Ethereum (ETHThe new Token for image Tokenizer method (TiTokAI) developed by Vitalik Buterin can encrypt images in a way that they are large enough to be added onchain.
Warpcast on social media accountButerin described the method of image compression as a “new way” to “encode a profile picture.” Then he said that it could compress images to 320 bit, which he called “basically a hash,” The pictures would be small enough that they could all go onto a chain.
An X-post by a scientist at artificial intelligence image generation platform Leonardo AI sparked the interest of Ethereum’s co-founder in TiTok AI.
The researcher @Ethan_smith_20 briefly described how this method can help people who are interested in the reinterpretation and encoding of complex images into 32 tokens.
Buterin suggests that this method would make it much easier for both developers and artists to create their profile photos. non-fungible tokens (NFTs).
Resolving previous issues with image tokenization
TiTok AI was developed as a result of a collaboration between TikTok’s parent company ByteDance (and the University of Munich) and is described by the University of Munich as ‘an innovative tokenization framework that differs from current two-dimensional approaches.
A research paper on image tokenization shows that AI allows TiTok’s 256 x 256 rendered images to be compressed into 256 x 256 pixels. “32 distinct tokens.”
This paper outlined issues with earlier image tokenization techniques, including VQGAN. Image tokenization had been possible in the past, but was limited by strategies that used VQGAN. “2D latent grids with fixed downsampling factors.”
The 2D tokenization method could not overcome the difficulties of handling redundancies within an image, as well as close areas that showed a great deal of similarity.
TiTok is a device that uses AIThe technology promises to resolve this issue by tokenizing images and converting them into 1D latent sequentials. “compact latent representation” Remove the redundant regions.
The tokenization strategy can also help to streamline the storage of images on Blockchain platforms, while improving processing speeds.
This is an enormous leap in computing efficiency.
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Source: crypto.news