Concept Preservation (CP): 0.598Prompt Following (PF): 0.865Overall (CP * PF): 0.517
Papers with Code · CC BY-SA 4.0
Personalized Image Generation
Utilizes single or multiple images that contain the same subject or style, along with text prompt, to generate images that contain that subject as well as match the textual description. Includes finetuning-based methods (e.g. DreamBooth, Textual Inversion) as well as encoder-based methods (e.g. E4T, ELITE, and IP-Adapter, etc.).
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
Papers with Code 아카이브의 데이터셋별 기록 예시입니다. 평가 조건과 지표 방향이 검증되지 않아 순위를 의미하지 않습니다.
데이터셋
1개논문
Concept Preservation (CP): 0.593Prompt Following (PF): 0.640Overall (CP * PF): 0.380
Concept Preservation (CP): 0.378Prompt Following (PF): 0.624Overall (CP * PF): 0.236
Concept Preservation (CP): 0.547Prompt Following (PF): 0.495Overall (CP * PF): 0.271
Concept Preservation (CP): 0.528Prompt Following (PF): 0.690Overall (CP * PF): 0.364
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