Diffusion models represent a cutting-edge approach to image generation, offering a dynamic framework for capturing temporal changes in data. The UNet encoder within diffusion models has recently been under intense scrutiny, revealing intriguing patterns in feature transformations during inference. These models use an encoder propagation scheme to revolutionize diffusion sampling by reusing past features, enabling…

Addressing the challenge of efficient and controllable image synthesis, the Alibaba research team introduces a novel framework in their recent paper. The central problem revolves around the need for a method that generates high-quality images and allows precise control over the synthesis process, accommodating diverse conditional inputs. The existing methods in image synthesis, such as…

With the recent introduction of Large Language Models (LLMs), the field of Artificial Intelligence (AI) has significantly outshined. Though these models have successfully demonstrated incredible performance in tasks like content generation and question answering, there are still certain challenges in answering complicated, open-ended queries that necessitate interaction with other tools or APIs. Outcome-based systems, where…