Original Image

Research on original images focuses on understanding and manipulating image generation and representation, particularly within the context of generative models like diffusion models. Current efforts concentrate on quantifying image originality, improving the quality of image representations through contrastive learning techniques, and developing methods to restore degraded images (e.g., scanned documents) to their original state. These advancements have implications for copyright law, improving image classification and object detection performance, and enhancing digital preservation of analog materials.