CVPR2022论文精读:Latent Diffusion Model for Image Synthesis, 视频播放量 16015、弹幕量 2、点赞数 116、投硬币枚数 61、收藏人数 307、转发人数 39, 视频作者 可爱的肚, 作者简介 荷兰留学博主,埃因霍温理工大学,人工智能–增材制造和计算光学,岗位制博士在读,相关
名称 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...
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Github: https://github.com/Stability-AI/generative-models Model Weights: https://huggingface.co/stabilityai/ 在Diffusers库的集成:https://github.com/huggingface/diffusers/tree/main/src/diffusers/pipelines/stable_diffusion_xl SD...
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...
title: SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis accepted: arXiv 2023 paper:https://arxiv.org/abs/2307.01952 code:https://github.com/Stability-AI/generative-models 关键词: image synthesis, stable diffusion, SDXL, AICG ...
Diffusion model has emerged as an effective technique for image synthesis by modelling complex and variable data distributions. However, most diffusion-based MRI synthesis models are using a single modality. As they operate in the original image domain, they are memory-intensive and less feasible ...
Latent-Diffusion-Models 加入Gitee 与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :) 免费加入 已有帐号?立即登录 此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库:https://github.com/CompVis/latent-diffusion main...
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) ...
ImageNet Model Training Training autoencoder models Training LDMs Coming Soon... Comments BibTeX Latent Diffusion Models arXiv|BibTeX High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach*,Andreas Blattmann*,Dominik Lorenz,Patrick Esser,Björn Ommer ...
By introducing cross-attention layers into the model archi- tecture, we turn diffusion models into powerful and flexi- ble generators for general conditioning inputs such as text or bounding boxes and high-resolution synthesis becomes possible in a convolutional manner. Our ...