There has been a recent explosion of impressive generative models that can produce high
quality images (or videos) conditioned on text descriptions. However, all such approaches …

Conditioned diffusion models have demonstrated state-of-the-art text-to-image synthesis
capacity. Recently, most works focus on synthesizing independent images; While for real …

Recent research showcases the considerable potential of conditional diffusion models for
generating consistent stories. However, current methods, which predominantly generate …

Generative models have recently exhibited exceptional capabilities in text-to-image
generation but still struggle to generate image sequences coherently. In this work we focus …

Story visualization aims to generate a series of images that match the story described in
texts, and it requires the generated images to satisfy high quality, alignment with the text …

We propose a general and efficient framework to control auto-regressive generation models
with NeurAlly-Decomposed Oracle (NADO). Given a pre-trained base language model and …

Story visualization (SV) is a challenging text-to-image generation task for the difficulty of not
only rendering visual details from the text descriptions but also encoding a longterm context …

Accurate Story visualization requires several necessary elements, such as identity
consistency across frames, the alignment between plain text and visual content, and a …

Transformers have made significant strides across various artificial intelligence domains,
including natural language processing, computer vision, and audio processing. This …

Story visualization aims to generate a series of realistic and coherent images based on a
storyline. Current models adopt a frame-by-frame architecture by transforming the pre …