Vitalik Buterin Titok AI supports onchain image storage
Ethereum founder Vitalik Buterin has endorsed the new Token for Image Tokenizer (TiTok) compression method for the blockchain implementation.
Not to be confused with social media platform TikTok, the new TikTok compression method significantly reduces image size, making it more practical to store on the blockchain.
“320 bits is essentially a hash,” Buterin said on decentralized social media platform Farcaster, highlighting Tito's blockchain capabilities. There is a bit that goes on the chain for each user.
The development could have significant implications for digital image storage profile pictures (PFPs) and non-perishable tokens (NFTs).
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Titok image compressor
Developed by researchers at ByteDance and the Technical University of Munich, Titok allows compression in 32 small pieces of data (bits) without reducing image quality.
According to Titok's research paper, advanced artificial intelligence (AI) image compression allows Titok to compress a 256×256 pixel image into “32 discrete tokens”.
Titock is a 1-dimensional (1D) image simulation framework that “breaks the grid limitations in 2D simulation methods” leading to dynamic and compact images.
“As a result, it brings a high speed in the sampling process (for example, 410 × faster than DT-XL) and obtaining a competitive quality of generations.”
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Machine learning images
TiTalk uses machine learning and advanced AI using transformer-based models to transform images into tokenized representations.
The method uses regional redundancy, which means it uses redundant information in different regions of the image and reduces the overall data size of the final product.
“Recent advances in generative models have highlighted the critical role of image simulation in the efficient synthesis of high-resolution images.”
According to the research paper, Titok's “compact latent representation” can produce “more efficient and effective representations than conventional techniques.”
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It's Tik Tok, not Tik Tok.
Despite the similar name, Tik Tok, a social media platform, did not receive support from Buterin.
Ethereum's founder gives credit to the new AI-based image compression method by highlighting Tito's blockchain capabilities.
“Unlike existing 2D VQ models that consider the hidden space of an image as a 2D grid, we propose a more compact formula for mapping an image to a 1D hidden sequence.”
The proposed new method can “represent an image 8 to 64 times” with smaller tokens than “2D tokenizers”, and the team hopes the research will shed light on “more efficient image representation”.
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