Image Generator
Image generators are artificial intelligence systems designed to create realistic images from various inputs, such as text descriptions or other images, aiming to achieve high visual fidelity and semantic consistency. Current research focuses on improving control over the generation process, addressing biases and artifacts, and enhancing the efficiency and scalability of models, often employing diffusion models, autoregressive transformers, and generative adversarial networks (GANs). These advancements have significant implications for various fields, including art, design, and media, while also raising important ethical considerations regarding the detection and attribution of AI-generated content.
Papers
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