- PhotoVerse Tuning-Free Image Customization with Text-to-Image Diffusion Models (13 Sep 2023)
This is my reading note for PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion. This paper proposes a fine tune free personalized image edit method bases on diffusion. To this end it proposes dual branch to encode text and image feature. Lora is used to update the existing model. it also proposed to use a random fusion injection to condition the attention with image and text embedding. However the paper fails to describe why this random fusion injection is needed.
- HyperDreamBooth HyperNetworks for Fast Personalization of Text-to-Image Models (27 Jul 2023)
This is my reading note for HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. This paper improves DreamBooth by applying LORA to improve speed.
- Subject-Diffusion Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning (26 Jul 2023)
This is my reading note for Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning. This paper propose a diffusion method to generate images with given visual concepts and text prompt. Especially the paper is able to hand multiple visual concert jointly. To handle that, the paper detect the visual concepts from the input images, then the segmented images and bounding box are encoded feed into latent diffusion model. To enhance the consistency, the visual embedding is inserted into the text encode of the prompt.