但 classifier-guided diffusion model 需要额外训练一个分类器,而且是使用带噪声的图像来训练的,所以就不能用之前训练好的一般分类器,而且从形式上看,classifier-guided diffusion model 加了分类器后,有点类似 GANs 一样,加入了分类器梯度的对抗的机制,而 GAN 在这些数据上的 IS 和 FID 评价都
在选择Classifier-Guided和Classifier-Free方法时,我们需要根据具体的应用场景和需求进行权衡。对于大多数人来说,由于扩散模型的训练成本较高,因此可能会更倾向于使用Classifier-Guided方法,以降低生成成本。而对于拥有充足数据和计算资源的公司或研究机构来说,Classifier-Free方法可能是一个更好的选择,因为它可以实现更高层...
它是后续一系列如stable diffusion,DALLE等文生图工作的基石。 参考文献 [1]Classifier-Free Diffusion Guidance [2]GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Classifier Guidance推导 Diffusion Models Beat GANs on Image Synthesis这篇文章中,做了大量实验来找到了DDPM的更好的工程改进方法,似的DDPM的的性能在很多指标上得以对GAN完成超越。这些改进可以简单总结为:…
Pingback: ▷Google and also Stanford Scientist Suggest an Unique Strategy for Distilling Classifier-Free Guided Diffusion Designs with High Experiencing Performance Pingback: Google and Stanford Researchers Propose a Novel Approach for Distilling Classifier-Free Guided Diffusion ...
guided_diffusion函数实现了Classifier-free Diffusion Guidance,它接受模型、当前时间步的噪声数据、时间步、条件信息和指导比例作为输入,并返回指导的噪声预测。 请注意,这个示例代码只是一个框架,用于说明Classifier-free Diffusion Guidance的基本概念。在实际应用中,你需要一个完整的扩散模型实现,包括训练过程、时间步调度...
Real-SRGD: Enhancing Real-World Image Super-Resolution with Classifier-Free Guided Diffusion [ACCV2024] [Paper] This is the official PyTorch implementation of "Real-SRGD: Enhancing Real-World Image Super-Resolution with Classifier-Free Guided Diffusion (ACCV2024)". Installation This repository uses ...
The conditioning roughly follows the method described inClassifier-Free Diffusion Guidance(also used inImageGen). The model infuses timestep embeddingsteand context embeddingscewith the U-Net activations at a certain layeraL, via, aL+1=ceaL+te. ...
5. Classifier-Free Diffusion Guidance 6. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models 7. Hierarchical Text-Conditional Image Generation with CLIP Latents 8. Photorealistic T...
Experimental results show that the proposed framework can serve as a simple but strong baseline for referring object manipulation. Also, comparisons with several baseline text-guided diffusion models demonstrate the effectiveness of our conditional classifier-free guidance technique.Choi, Myungsub...