Digital Human
Digital humans are realistic virtual representations of humans used in various applications, from virtual reality and animation to medical simulations and interactive recommendation systems. Current research focuses on improving their realism and interactivity, employing techniques like transformer-based neural networks for motion generation, reinforcement learning for autonomous behavior, and diffusion models for image generation guided by skeletal data. These advancements are driving progress in fields like personalized medicine (through in silico trials), interactive entertainment, and e-commerce, by enabling more sophisticated and engaging human-computer interactions.
Papers
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