Flow matching这种ODE方法,学习一个一般微分方程来计算动力进行传播,相比SDE的方法采样更快训练更简单。 本方法的三大特点: 1.我们在像素空间中使用flow matching。在隐空间用预训练的autoencoder来调用flow matching,从而提升计算效率。 2.diffusion模型成功的关键就是不同条件输入的适配性(plug and play)。先验的FM模...
Latent Space Editing in Transformer-Based Flow Matching 代码:taohu.me/lfm/ 0摘要 本文致力于通过生成模型进行图像编辑。流匹配(flow matching)是一种新兴的生成建模技术,具有简单、高效训练的优势。同时,最近提出了一种新的基于 transformer 的 U-ViT 来取代常用的 UNet,以提高生成建模的可扩展性和性能。因此...
Flow Matching 指的是让模型拟合linear interpolant的empricial vector field。然后用neural ODE来做不同分之间样本的转移。 U-ViT就是把diffusion model中U-Net的卷积block替换为transformer。 Semantic direction manipulation in u-space 令人震惊的是,虽然u-space是文章很重要的概念,也是作者一直在强调的贡献,但是我没...
in the pixel space. Furthermore, although latent-based generative methods have shown great success in recent years, this particular model type remains underexplored in this area. In this work, we propose to apply flow matching in the latent spaces of pretrained autoencoders, which offers improved...
This paper presents a new deep-learning-based generative method applicable to history matching without an inverse scheme. Multiple-point geostatistics is used to construct a prior population stochastically. A convolutional variational autoencoder (VAE) with probabilistic latent space is trained as the ...
Diffusion models have been a key enabler, as they excel inimage diversity. However, this comes at the cost of slow trainingand synthesis, which is only partially alleviated by latent diffusion. To this end, flow matching is an appealing approach due toits complementary characteristics of faster ...
In the analysis of the survey data collected from online game users, structural equation modeling was used and the results showed that mediating motifs (entertainment, spending time and escape) and interpersonal movements (social interaction and matching) were important factors affecting addiction. While...
At inference we can take any diffusion model, generate the low-res latent, and then use our Coupling Flow Matching model to synthesize the higher dimensional latent code. Finally, the pre-trained decoder projects the latent code back to pixel space, resulting in $1024^2$ or $2048^2$ images...
Thiswork introduces a unif ied pyramidal f l ow matching algorithm. It reinterprets theoriginal denoising trajectory as a series of pyramid stages, where only the f inalstage operates at the full resolution, thereby enabling more eff icient video gener-ative modeling. Through our sophisticated ...
Thuerey. Latent-space physics: Towards learning the temporal evolution of fluid flow. arXiv preprint arXiv:1802.10123, 2018.Steffen Wiewel, Moritz Becher, and Nils Thuerey. Latent-space physics: Towards learning the temporal evolution of fluid flow. arXiv preprint arXiv:1802.10123, 2018....