14 citations · 29 across the 10 of their papers we have counts for
4 papers · 1 filter
Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis
Vasco Ramos, Yonatan Bitton, Michal Yarom +2
Generated video scenes for action-centric sequence descriptions, such as recipe instructions and do-it-yourself projects, often include non-linear patterns, where the next video ma…
VideoPhy: Evaluating Physical Commonsense for Video Generation
Hritik Bansal, Zongyu Lin, Tianyi Xie +7
Recent advances in internet-scale video data pretraining have led to the development of text-to-video generative models that can create high-quality videos across a broad range of…
Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks
João Bordalo, Vasco Ramos, Rodrigo Valério +5
Multistep instructions, such as recipes and how-to guides, greatly benefit from visual aids, such as a series of images that accompany the instruction steps. While Large Language M…
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
Hritik Bansal, Yonatan Bitton, Michal Yarom +3
Most of these text-to-video (T2V) generative models often produce single-scene video clips that depict an entity performing a particular action (e.g., 'a red panda climbing a tree'…