Latent Diffusion Model, High-Resolution Image Synthesis with Latent Diffusion Models 时间:21.12 机构:runway TL;DR 这篇文章介绍了一种名为潜在扩散模型(Latent Diffusion Models, LDMs)的新型高分辨率图像合成方法。LDMs通过在预训练的自编码器的潜在空间中应用扩散模型,实现了在有限计算资源下训练高质量图像合成模...
我们的隐式扩散模型(Latent Diffusion Models, LDM) 在图像修复和类条件图像合成(class-conditional image synthesis)方面取得了新的最佳分数,并在包括文本到图像合成、无条件图像生成和超分辨率等人物上的表现都极具竞争力;同时,与基于像素的 DM 相比,我们显著降低了计算要求。 1. 介绍 图像合成是最近发展最引人注目...
而且文章发现在固定分辨率图像上训练的模型可以泛化到更大分辨率的图像上,LDMs还可以应用于超分辨率和修复等任务上。 4.4. Super-Resolution with Latent Diffusion 通过将低分辨率的图像作为条件输入,LDMs可以用于增加图像分辨率的任务上,这本质上是一个image-to-image的任务。 评测效果: 人类打分: 4.5. Inpainting with...
综上所述,“high-resolution”在Stable-Diffusion模型的上下文中,主要指的是该模型在处理高分辨率图像时所展现出的优势和能力。通过构建latent-diffusion-model、优化模型结构以及实验验证,Stable-Diffusion模型成功地在保证高分辨率图像质量的同时,降低了资源消耗量,并在多个下游任务中取得了优异...
Pre title: SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis accepted: arXiv 2023 paper: https://arxiv.org/abs/2307.01952 co
Latent Diffusion Models (LDMs) enable high-quality image synthesis while avoiding excessive compute demands by training a diffusion model in a compressed lower-dimensional latent space. Here, we apply the LDM paradigm to high-resolution video generation, a particularly resource-intensive task. We ...
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach1 ∗ Andreas Blattmann1 ∗ Dominik Lorenz1 Patrick Esser Bjo¨rn Ommer1 1Ludwig Maximilian University of Munich & IWR, Heidelberg University, Germany Runway ML https://github.com/CompVis/latent-d...
By introducing cross-attention layers into the model architecture, we turn diffusion models into powerful and flexible generators for general conditioning inputs such as text or bounding boxes and high-resolution synthesis becomes possible in a convolutional manner. Our latent diffusion models (LDMs) ...
Latent Diffusion Models arXiv|BibTeX High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach*,Andreas Blattmann*,Dominik Lorenz,Patrick Esser,Björn Ommer * equal contribution News July 2022 Inference code and model weights to run ourretrieval-augmented diffusion modelsare now avail...
Latent Diffusion Models (LDMs) enable high-quality image synthesis while avoiding excessive compute demands by training a diffusion model in a compressed lower-dimensional latent space. Here, we apply the LDM paradigm to high-resolution video generation, a particularly resource-intensive task. We ...