Loomis Painter: Learning Painting Processes by Reversing Image-to-Video Generation
The authors developed a unified framework for generating multi-media painting processes by combining cross-medium style augmentation and a reverse-painting training strategy. This method uses a video diffusion model conditioned on medium-aware semantics to ensure consistent texture evolution and human-aligned generation, successfully recreating the progressive steps of painting from sketch to final artwork.