TLDR Learning from human preferences, specifically Reinforcement Learning from Human Feedback (RLHF) has been a key recent component in the development of large language models such as ChatGPT or Llama2. Up until recently, the impact of human feedback training on text-to-image models was much more limited. In this work, Diffusion-DPO,

TLDR Generative AI methods for image generation have a wide variety of potential applications in marketing, sales, and e-commerce. With these applications in mind, the Salesforce Research team has developed several techniques based on image-generative diffusion models, including methods for image editing, improved classifier guidance, and improved controlled generation methods.

TL;DR: Text-to-image diffusion models are very adept at generating novel images from a text prompt, but current adaptations of these methods to image editing suffer from a lack of consistency and faithfulness to the original image. Many of these discrepancies can be traced to the difficulty of inverting the