Many-to-many Image Generation with Auto-regressive Diffusion Models

arXiv:2404.03109v1 Announce Type: new
Abstract: Recent advancements in image generation have made significant progress, yet existing models present limitations in perceiving and generating an arbitrary number of interrelated images within a broad context. This limitation becomes increasingly critical as the demand for multi-image scenarios, such as multi-view images and visual narratives, grows with the expansion of multimedia platforms. This paper introduces a domain-general framework for many-to-many image generation, capable of producing interrelated image series from a given set of images, …

abstract arxiv auto context cs.cv demand diffusion diffusion models image image generation images limitations progress type view visual