5 papers
Order Matters: LVLMs as Judges for Temporal Reasoning in Image Sequences
Martina Ianaro, Guilherme Fernandes, Maurizio Gabbrielli +1
As generative multimedia evolves from static image synthesis to complex, interleaved visual narratives, a foundational bottleneck has emerged: the judgment crisis. While human perc…
Early Estimation of Language to Latent Alignment in Diffusion Models
Vasco Ramos, Regev Cohen, Idan Szpektor +1
Conditional diffusion models frequently suffer from language-image misalignments. Due to the ambiguity of intermediate noise corrupted latents, assessing prompt adherence currently…
Latent Beam Diffusion Models for Generating Visual Sequences
Guilherme Fernandes, Vasco Ramos, Regev Cohen +2
While diffusion models excel at generating high-quality images from text prompts, they struggle with visual consistency when generating image sequences. Existing methods generate e…
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…
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…