paper:https://arxiv.org/pdf/2102.09672.pdf github:https://github.com/openai/improved-diffusion 贡献 噪声机制更新,使用cosine 引入了方差项的学习 方差学习 faster sampling DDPM是一步一步的往上采样,这里有一个strided sampling schedule,也就是每次网上采样100步,参数都没变化。个人感觉没啥意义。 个人相关...
IDDPM的paper是在DDIM之后提出的,虽然论文中说是"Parallel to our work, Song et al. (2020a) propose a fast sampling algorithm for DDPMs",但是IDDPM中提出的快速采样方法似乎和DDIM没有差别(只不过是把DDIM的 σt2=0 设为DDPM中的 σt2=β~t ),有没有“借鉴”DDIM很难判定哈哈。对于这样的Improving...
which is one of the most widely used approaches for accelerated sampling from pre-trained Denoising Diffusion Probabilistic Models (DDPM). Specifically we match the first and second order central moments of the DDPM forward marginals by
In this paper, we propose a new metal surface defect detection method using denoising diffusion probabilistic model (DDPM) and improved YOLOv8 network. Firstly, we adopt DDPM to augment metal surface defect images, enrich the dataset and samples distribution. Secondly, we modify the YOLOv8 network...
A Fuzz Testing Method Based on DDPM for Intelligent Connected Vehicles CAN Communication learns the distribution of existing CAN bus message data, enabling the generation of data messages similar to the original data distribution for testing ... L Shen,J Xiu,Z Zhang,... - SAE International 被引...
研究动机虽然DDPM的FID和IS指标可以很高,但它们的对数似然(log-likelihoods)比不过之前的一些模型。对数似然是生成模型中广泛使用的度量指标,通常认为优化对数似然迫使生成模型能够拟合数据分布的所有模式,对…
《Improved Denoising Diffusion Probabilistic Models》是OpenAI提出的一个工作,对DDPM做了一些改进。具体论文细节可以参见 论文,今天就来看一下代码实现,在看代码细节之前,也会简单过一下论文的一些发现。学…
This model first addresses the problem of a small dataset and uneven sample distribution through RE-DDPM. Then, it achieves precise and fast recognition of the combustion state through DAF-FasterNet. This paper proposes a new image generation method, RE-DDPM. During training, a mask operation ...
With the introduction of Denoising Diffusion Probabilistic Models (DDPM) [29] across the board, diffusion models have been progressively simplified with great success in the field of image generation. A common approach is to insert LR images into the input of the current diffusion model (e.g.,...
With the introduction of Denoising Diffusion Probabilistic Models (DDPM) [29] across the board, diffusion models have been progressively simplified with great success in the field of image generation. A common approach is to insert LR images into the input of the current diffusion model (e.g.,...