Human Generation
Human image generation is a rapidly advancing field aiming to create realistic and diverse synthetic human images using AI. Current research focuses on improving the accuracy of human anatomy in generated images, mitigating biases present in training data, and enhancing control over visual attributes through text and image prompts, employing techniques like diffusion models, GANs, and neural radiance fields. These advancements have significant implications for various applications, including virtual reality, animation, and the creative industries, while also raising important ethical considerations regarding bias and representation in AI-generated content.
Papers
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