23.07.25 (Tue)
FABRIC ๐จPersonalizing Diffusion Models with Iterative FeedbackDimitri Von Rรผttefeedback์ผ๋ก ์ํ๋ ์ด๋ฏธ์ง ์ผ๊ด์ฑ ์๊ฒ ์์ฑ๋ชจ๋ธ์์ ๋ฝ์๋ด๊ธฐ
FABRIC ๐จPersonalizing Diffusion Models with Iterative FeedbackDimitri Von Rรผttefeedback์ผ๋ก ์ํ๋ ์ด๋ฏธ์ง ์ผ๊ด์ฑ ์๊ฒ ์์ฑ๋ชจ๋ธ์์ ๋ฝ์๋ด๊ธฐ
DreamTeacherํ ์คํ ๋ฆฌ๋๊ฐ ๋งํ๋ โ์ข์ ์ ๋ต์ด๋ ๋ฌด์์ธ๊ฐโ์ ์์ ์ ๋ฐ์ ์ผ๋ก ์ด๋์ด ๊ฐ๋ ๋ฐฉ๋ฒ์ด๋ ์ฑ ๋ต์ ์ ๋ต(Strategy)์ด๋ผ๊ณ ํ์ฃ . ์๋ง์ ์๋์ ๋ณํ๋ฅผ ํตํด
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image EditingPrecise and controllable image editing is a challenging task that hasattracted significant
DragGan - Drag Your GAN - a Hugging Face Space by radamesDiscover amazing ML apps made by the communitya Hugging
Fast Segment AnythingThe recently proposed segment anything model (SAM) has made a significantinfluence in many computer vision tasks. It is
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image ManifoldSynthesizing visual content that meets usersโ needs often requires flexible
์ฑGPT, โ๋ง์ผํ โ์ ๋ชจ๋ ๊ฒ์ ๋ฐ๊ฟจ๋ค... ์ด์ GCC ์๋ - ๋๋ฐํฌ[SXSW2023 ๋๋ธ๋ฆฌํ ์จ๋น๋]โ์ ํ ์ฑ์ถ์ ํฌ๋ช ์ฑ ์ ์ฑ ๋ฑ์ผ๋ก ๋ง์ผํ ํ๊ฒฝ
๊ทธ๋ฆผ์ผ๋ก ์ดํดํ๋ ์คํ ์ด๋ธ ๋ํจ์ ์ ์ด ์๋ผ๋ง๋ฅดJay Alammar์ โThe Illustrated Stable Diffusionโ๋ฅผ ๋ฒ์ญํ์ต๋๋ค.MediumJonas Kimํ์ ๋ถ์กฑํ ์ฌ๋๋ค๋ผ๋ฆฌ ๋ชจ์ธ ์ง๋จ์ด๋ค, ํ์ฅ์ ๋๊ตฌ๋ณด๋ค