Stable Video Diffusion采用了改进的EDM(Elucidating the Design Space of Diffusion-Based Generative Models)调度器,显著提升了模型采样效率。在模型训练和推理过程中,合理选择和调优EDM参数尤为重要。 具体来看,EDM调度器最重要的改进在于其统一噪声强度的概念,将离散噪声改进为连续噪声。通过
一、Diffusion Probabilistic Models (DPMs) Diffusion-based generative models: forward/diffusion process:图中从右往左. 从x0经过好多个不同的q(xt|xt−1)到xT,相当于 VAE 中的 encoder. reverse process:图中从左往右. 从xT经过好多个不同的q(xt−1|xt)到x0,相当于 VAE 中的 decoder. (用pθ(xt...
EDM 的论文全称为Elucidating the Design Space of Diffusion-Based Generative Models。这篇论文用一种概括性较强的数学模型统一表示了此前各种各样的扩散模型结构,并提出了改进版模型的训练及采样策略。简单来说,EDM 把扩散模型不同时刻的噪声强度表示成\sigma_t,它表示在t时刻时,对来自数据集的图像加了标准差为\...
EDM 的2022年论文全称为Elucidating the Design Space of Diffusion-Based Generative Models。这篇论文用一种概括性较强的数学模型统一表示了此前各种各样的扩散模型结构,并提出了改进版模型的训练及采样策略。简单来说,EDM 把扩散模型不同时刻的噪声强度表示成 ,它表示在 时刻时,对来自数据集的图像加了标准差为 ...
《Antibody complementarity determining regions (cdrs) design using constrained energy model》《Antibody-antigen docking and design via hierarchical structure refinement》,最近的工作《Antigen-specific antibody design and optimization with diffusion-based generative models》开发了一个基于扩散的生成模型,明确针对...
models have provided such inverse mappings, they are typically restricted to linear target properties such as stiffness. Here, to tailor the nonlinear response, we show that video diffusion generative models trained on full-field data of periodic stochastic cellular structures can successfully predict ...
Rao also predicted that the generative AI ecosystem will evolve into three layers of models. The base layer is a series of text-, image-, voice- and code-based foundational models. These models ingest large volumes of data, are built on large deep learning models and incorporate human ju...
autoregressive modelsDenoising diffusion probabilistic models are a promising new class of generative models that mark a milestone in high-quality image generation. This paper showcases their ability to sequentially generate video, surpassing prior methods in perceptual and probabilistic forecasting metrics. ...
如下,video diffusion 比 image diffusion 晚大概四个月。 Image Diffusion Ref:High-Resolution Image Synthesis with Latent Diffusion Models [Submitted on20 Dec 2021(v1), last revised 13 Apr 2022 (this version, v2)] High-Resolution Image Synthesis with Latent Diffusion Models ...
Recently, latent diffusion models trained for 2D image synthesis have been turned into generative video models by inserting temporal layers and finetuning them on small, high-quality video datasets. However, training methods in the literature vary widely, and the field has yet to agree on a ...