https://github.com/AttendAndExcite/Attend-and-Excite
공식 코드Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Generative Semantic Nursing is a task of intervening the generative process on the fly during inference time to improve the faithfulness of the generated images. It works by carefully manipulating of latents during the denoising process of a pre-trained text-to-image diffusion model.
Source: Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Divide & Bind Your Attention for Improved Generative Semantic Nursing
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.