2 papers
cs.CV2026
FlowC2S: Flowing from Current to Succeeding Frames for Fast and Memory-Efficient Video Continuation
Hovhannes Margaryan, Quentin Bammey, Christian Sandor
This paper introduces a novel methodology for generating fast and memory-efficient video continuations. Our method, dubbed FlowC2S, fine-tunes a pre-trained text-to-video flow mode…
cs.CV2025
PEO: Training-Free Aesthetic Quality Enhancement in Pre-Trained Text-to-Image Diffusion Models with Prompt Embedding Optimization
Hovhannes Margaryan, Bo Wan, Tinne Tuytelaars
This paper introduces a novel approach to aesthetic quality improvement in pre-trained text-to-image diffusion models when given a simple prompt. Our method, dubbed Prompt Embeddin…