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목록diffusion model (2)
kkm0476
[논문리뷰] VICO : PLUG-AND-PLAY VISUAL CONDITION FOR PERSONALIZED TEXT-TO-IMAGE GENERATION
VICO : PLUG-AND-PLAY VISUAL CONDITION FOR PERSONALIZED TEXT-TO-IMAGE GENERATION Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong [paper] [github] 7 Dec 2023 Contents 1. Introduction 2. Method 3. Experiments 4. Limitations 5. Summary 1. Introduction Personalization은 text-to-image generation model이 unique object에 대한 이미지 합성이 가능하도록 하는 분야이다. 최근 DreamBooth, Custom Diffusion, Textual Inversion과 같은 연..
[논문리뷰] DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven GenerationNataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir AbermanCVPR 2023 [paper] [github]Contents1. Introduction2. Method3. Experiments4. Limitations5. Summary1. Introduction본 논문은 Textual Inversion과 마찬가지로 pretrained text-to-image 모델을 personalization하는 기술인 DreamBooth를 제시한다. Personalization..