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 Latent Diffusion 针对图像修复任务,首先相对于pixel-level的方法,LDMs极大提升了修复速度: 其次,在修复质量上,也可...
CVPR2022论文精读:Latent Diffusion Model for Image Synthesis, 视频播放量 1.6万播放、弹幕量 2、点赞数 116、投硬币枚数 61、收藏人数 307、转发人数 38, 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,
Code: CompVis/latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models (github.com) Paper: https://arxiv.org/abs/2112.10752ContributionDiffusion model是一… 微风发表于图文多模态 [论文精读]Image Super-Resolution Using T-Tetromino Pixels 标题关键词:T-Tetromino Pixels 关键词解析:...
不同的压缩率变现不同其中LDM4-16效果比较好 2. Image Generation with Latent Diffusion 3. Conditional Latent Diffusion Transformer Encoders for LDMs Convolutional Sampling Beyond 256² Super-Resolution with Latent Diffusion Inpainting with Latent Diffusion 此博客只做为自己记录,可以参考其他优秀博客 https:...
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...
Github:https://github.com/CompVis/latent-diffusion?tab=readme-ov-file 参考:https://stable-diffusion-art.com/how-stable-diffusion-work/ 关键词:stable diffusion,LDMs 阅读理由:对DM高消耗的优化,解决速度问题。看一下优化思路,优化原理,实验是怎么做的,对以后的研究有什么启发or帮助 前置知识:DDPM、自编...
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-...
OpenImages Super-resolution LDM-VQ-4 N/A N/A N/A N/A https://ommer-lab.com/files/latent-diffusion/sr_bsr.zip BSR image degradation OpenImages Layout-to-Image Synthesis LDM-VQ-4 (200 DDIM steps, eta=0) 32.02 15.92 N/A N/A https://ommer-lab.com/files/latent-diffusion/layout2img...
Our latent diffusion models (LDMs) achieve a new state of the art for image inpainting and highly competitive performance on various tasks, including unconditional image generation, semantic scene synthesis, and super-resolution, while significantly reducing computational requirements compared to pixel-...
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...