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…

In the realm of video generation, diffusion models have showcased remarkable advancements. However, a lingering challenge persists—the unsatisfactory temporal consistency and unnatural dynamics in inference results. The study explores the intricacies of noise initialization in video diffusion models, uncovering a crucial training-inference gap.  The study addresses challenges in diffusion-based video generation, identifying a training-inference gap…