Tag: stable-diffusion

• Idea2Img Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation (14 Oct 2023)
  

  This is my reading note for Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation. This paper proposes a system on how to use GPT4V to generate images from idea by calling an image generation tool. Especially.it generates text prompt based on idea, given the images generated from the prompt, it ranks and selects the best image; it then generate a new promote to guide image generation process.

• Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency (04 Oct 2023)
  

  This is my reading note for Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency. The papers proposes a method to train a multi modality model between text and image. Especially, the paper propose cycle consistency loss to leverage unpaired text and image: use image to generate text and use text to recover image and vice verse. It reminds me cycle-GAN paper.

• 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.

• Localizing and Editing Knowledge in Text-to-Image Generative Models (27 Jun 2023)
  

  This is my reading note for Localizing and Editing Knowledge in Text-to-Image Generative Models. This paper studied how each component of diffusion model contribute to the final result: only that self attention layer of last tokens contribute to the final result. Then it proposes a simple method to perform image editing by modifying that layer.