The Chosen One: Consistent Characters in Text-to-Image Diffusion Models: Additional Experiments

Machine Learning Tech Brief By HackerNoon

コンテンツは HackerNoon によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャストコンテンツは、HackerNoon またはそのポッドキャストプラットフォームパートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。

3M ago 7:37

MP3•エピソードのホーム

This story was originally published on HackerNoon at: https://hackernoon.com/the-chosen-one-consistent-characters-in-text-to-image-diffusion-models-additional-experiments.
In this study, researchers introduce an iterative procedure that, at each stage, identifies a coherent set of images sharing a similar identity.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #generative-models, #diffusion-models, #story-visualization, #computing-methodologies, #neural-networks, #text-to-image, #text-to-image-diffusion-models, and more.
This story was written by: @gamifications. Learn more about this writer by checking @gamifications's about page, and for more stories, please visit hackernoon.com.
In this study, researchers introduce an iterative procedure that, at each stage, identifies a coherent set of images sharing a similar identity.