Meet HyperHuman: A Novel AI Framework for Hyper-Realistic Human Generation with Latent Structural Diffusion

The generation of hyper-realistic human images from user-defined conditions, such as text and pose, is meaningful for various applications, including image animation and virtual try-ons. Numerous efforts have been made to explore the task of controllable human image generation. Early methods either relied on variational auto-encoders (VAEs) in a reconstruction manner or improved realism through […]

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