Jinghong Lan

iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation

Pre-trained video models learn powerful priors for generating high-quality, temporally coherent content. While these models excel at temporal coherence, their dynamics are often constrained by the continuous nature of their training data. We hypothesize that by injecting the rich and unconstrained c