Sketch To Image Translation

Sketch-to-Image Translation is a technology in the field of computer vision that aims to convert hand-drawn sketches into realistic images using deep learning models. The core objective of this technology is to capture the semantic information contained in the sketches and generate highly detailed and realistic images corresponding to them. Its application value is extensive, including but not limited to image generation, creative design, virtual reality, and augmented reality, significantly enhancing the efficiency and quality of content creation.