In this study we explore Transformer based diffusion models for image and video
generation. Despite the dominance of Transformer architectures in various fields due to their …

Story visualization aims at generating a sequence of images to narrate each sentence in a
multi-sentence story. Different from video generation that focuses on maintaining the …

We introduce a deep generative model for image sequences that reliably factorise the latent
space into content and motion variables. To model the diverse dynamics, we split the motion …

Abstract We introduce\textit {HALO}--a deep generative model utilising HAmiltonian Latent
Operators to reliably disentangle content and motion information in image sequences …

We present a deep latent variable model for high dimensional sequential data. Our model
factorises the latent space into content and motion variables. To model the diverse …

A wide range of applications require learning image generation models whose latent space
effectively captures the high-level factors of variation present in the data distribution. The …

Knowledge Elicitation using Psychometric Learning Page 1 Knowledge Elicitation using
Psychometric Learning Citation for published version (APA): Yin, L. (2023). Knowledge …

Story visualization aims at generating a sequence of images to narrate each sentence in a
multi-sentence story. Different from video generation that focuses on maintaining the …