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Drawing Guidance for Freehand Sketching with Interactive Diffusion Model
Get PDFDrawing is a universal form of human expression that transcends language barriers. However, the common users may have difficulty to convey their ideas independently due to the necessity of consistent practice and professional guidance. In this work, we proposed our system for freehand sketching. The proposed system adopts an interactive diffusion model, StreamDiffusion for providing real-time user guidance to assist users within the drawing process. We use a diffusion model to generate RGB images based on hand-drawn sketches and prompts, then convert RGB images into sketches using informative drawings line detector to assist users with creative expression in the drawing practice. Our method can generate images in real time that accurately align with the user’s intent and provide shadow guidance in the background. This process aids users in their drawing practice by allowing them to create sketches based on prompts and their own coarse drawings. A user study evaluates our method’s effectiveness and gathers feedback on interface design.コンピュータグラフィックスとビジュアル情報学研究会第195回研究発表
