Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model

Proposes a unified framework supporting a three-dimensional control over the image synthesis from sketches and strokes based on diffusion models, achieving SotA performance and allowing editing on real images, generation with partial sketches and strokes, etc.

Enables businesses to create customized images with control over shape, color, and realism, allowing for more personalized and visually appealing content. This can improve marketing efforts and enhance product visualization for customers.