The text discusses the HyperHuman framework for generating hyper-realistic human images. It utilizes a large dataset and a Latent Structural Diffusion Model to improve image quality and coherence. The framework demonstrates superior performance and robustness compared to previous models. Future research can explore text-to-pose generation using deep priors.
Can We Generate Hyper-Realistic Human Images? This AI Paper Presents HyperHuman: A Leap Forward in Text-to-Image Models
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Introducing HyperHuman: Generating Hyper-Realistic Human Images
HyperHuman is a framework for generating hyper-realistic human images. It overcomes challenges in coherence and naturalness, producing high-quality, diverse, and text-aligned images. The framework utilizes the HumanVerse dataset, which consists of 340 million annotated images. It incorporates a Latent Structural Diffusion Model to denoise depth and surface-normal while generating RGB images. A Structure-Guided Refiner enhances the quality and detail of the synthesized images. HyperHuman achieves state-of-the-art performance in hyper-realistic human image generation.
The Benefits of HyperHuman
The HyperHuman framework offers several benefits:
- High realism and diversity in human image generation
- Improved coherence in human anatomy and natural poses
- Superior image quality and pose accuracy
- Robust performance compared to previous models
Practical Applications and Value
Generating hyper-realistic human images has important applications in various scenarios, such as image animation and virtual try-ons. The HyperHuman framework provides practical solutions for these applications by addressing the challenges faced by previous models, ensuring high-quality results with accurate alignment to text and poses.
Implementing AI Solutions for Your Company
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- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
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