It is worth noting that the Consistency Decoder, which OpenAI open-sourced last week, builds on prior research from late December 2021, also open-sourced by @robrombach and @pess_r. The Consistency Decoder generates images by working on the latent space output of a VQGAN, an approach used by the 2021 paper. However, it improves upon the prior iterative process by directly mapping noise to data, showcasing another example of the benefits of open-source collaborations. Robin Rombach's contributions authorswithcode.org/researchers/?a… Patrick Esser's contributions authorswithcode.org/researchers/?a… Sample image decoding (using an image that was used to showcase Parti's capability of generating image given text input)
It is worth noting that the Consistency Decoder, which OpenAI open-sourced last week, builds on prior research from late December 2021, also open-sourced by @robrombach and @pess_r. The Consistency Decoder generates images by working on the latent space output of a VQGAN, an approach used by the 2021 paper. However, it improves upon the prior iterative process by directly mapping noise to data, showcasing another example of the benefits of open-source collaborations. Robin Rombach's contributions authorswithcode.org/researchers/?a… Patrick Esser's contributions authorswithcode.org/researchers/?a… Sample image decoding (using an image that was used to showcase Parti's capability of generating image given text input)