2 papers
cs.GR2025
MG-Gen: Single Image to Motion Graphics Generation
Takahiro Shirakawa, Tomoyuki Suzuki, Takuto Narumoto +1
We introduce MG-Gen, a framework that generates motion graphics directly from a single raster image. MG-Gen decompose a single raster image into layered structures represented as H…
cs.CV2024
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser +4
Diffusion models have enabled the generation of high-quality images with a strong focus on realism and textual fidelity. Yet, large-scale text-to-image models, such as Stable Diffu…