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Denoising Diffusion Probabilistic Models
Ho et al. • 2020
GenerativeVisionDiffusion
Resumo
This paper demonstrated that diffusion models could generate high-quality images by reversing a gradual noising process. It established the theoretical and practical groundwork for the current generation of image synthesis systems.
Por Que Importa
- Superseded GANs as the primary image generation approach
- Mathematical basis for modern diffusion systems
- Achieves high fidelity and diversity in generation
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Denoising Diffusion Probabilistic Models
Ho et al. • 2020
GenerativeVisionDiffusion
Resumo
This paper demonstrated that diffusion models could generate high-quality images by reversing a gradual noising process. It established the theoretical and practical groundwork for the current generation of image synthesis systems.
Por Que Importa
- Superseded GANs as the primary image generation approach
- Mathematical basis for modern diffusion systems
- Achieves high fidelity and diversity in generation
Perguntar sobre este artigo
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