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Hierarchical Text-Conditional Image Generation with CLIP Latents
This article discusses the use of CLIP model for hierarchical text-conditional image generation with DALL·E 2, providing insights into the prior model and decoder used in the process.- 322
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Improved Denoising Diffusion Probabilistic Models (DDPM) and Its Application in Image Generation
2021年OpenAI发表的论文《Improved Denoising Diffusion Probabilistic Models》对DDPM算法进行了改进,采用余弦函数的噪声Schedule,代码开源且使用PyTorch框架。本文介绍了其训练和采样脚本,并讨论了改进算法相对于原始DDPM的优势。- 372
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Stable Diffusion: A Deep Learning Model Explained
Learn about Stable Diffusion, a deep learning model that explains text-to-image generation and reverse diffusion process.- 79
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Improved Denoising Diffusion Probabilistic Models: Enhancing Log-likelihood and Noise Schedule
This article discusses the improvements made to Denoising Diffusion Probabilistic Models (DDPM) in terms of log-likelihood and noise schedule, highlighting their competitive performance on high-divers…- 164
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