78 citations · 185 across the 11 of their papers we have counts for
4 papers · 1 filter
Learning to Model Multimodal Semantic Alignment for Story Visualization
Bowen Li, Thomas Lukasiewicz
Story visualization aims to generate a sequence of images to narrate each sentence in a multi-sentence story, where the images should be realistic and keep global consistency acros…
Word-Level Fine-Grained Story Visualization
Bowen Li, Thomas Lukasiewicz
Story visualization aims to generate a sequence of images to narrate each sentence in a multi-sentence story with a global consistency across dynamic scenes and characters. Current…
Lightweight Long-Range Generative Adversarial Networks
Bowen Li, Thomas Lukasiewicz
In this paper, we introduce novel lightweight generative adversarial networks, which can effectively capture long-range dependencies in the image generation process, and produce hi…
Memory-Driven Text-to-Image Generation
Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz
We introduce a memory-driven semi-parametric approach to text-to-image generation, which is based on both parametric and non-parametric techniques. The non-parametric component is…