随着基于扩散的方法的快速发展,使用扩散模型对图像进行编辑具有广泛的前景。一些在大规模文本图像数据上训练得到的扩散模型如 Stable Diffusion,具有丰富的先验知识,使得自由的真实图像编辑成为可能。 主流的基于扩散的图像编辑技术 根据编辑方式的不同,目前主流的基于扩散的图像编辑技术可以分为两大类: ...
标题翻译:Diff-Plugin: 用于增强Diffusion-based底层视觉模型细节恢复能力的即插即用插件 作者单位:香港城市大学、Adobe 项目主页(视频介绍、本地部署源码、本地演示环境搭建): https://yuhaoliu7456.github.io/Diff-Plugin/yuhaoliu7456.github.io/Diff-Plugin/ 摘要 扩散模型在图像合成方面取得了显著进展。然而由...
Diffusion distanceSymmetry detectionWe propose an iterative isometric point correspondence method that relies on diffusion distance to handle challenges posed by commodity depth sensors which usually provide incomplete and noisy surface data exhibiting holes and gaps. We formulate the correspondence problem as...
https://www.youtube.com/watch?v=G3u5R4zYLNs DiPPeST: Diffusion-based Path Planner for Synthesizing Trajectories Applied on Quadruped Robots Maria Stamatopoulou, Jianwei Liu, Dimitrios Kanoulas We present DiPPeST, a novel image and goal conditioned diffusion-based trajectory generator for quadrupedal...
[CV] VideoBooth: Diffusion-based Video Generation with Image Prompts O网页链接 研究了一种新的视频生成任务,用图像提示生成视频。提出VideoBooth框架来解决该任务。VideoBooth使用两层的视觉嵌入来表达图像提示中的视觉特征。第一层是粗粒度的视觉嵌入,使用预训练的CLIP图像编码器提取图像特征,然后用MLP将特征映射...
论文翻译(扩散模型来了):Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data 利用发现的数据来创建合成声音是具有挑战性的,因为现实世界的录音通常包含各种类型的音频退化。解决这个问题的一种方法是使用增强模型对语音进行预增强,然后使用增强后的数据进行文本转语音(TTS)模型...
几篇论文实现代码:《Diffusion-based Blind Text Image Super-Resolution》(CVPR 2024) GitHub: github.com/YuzheZhang-1999/DiffTSR [fig3] 《Parameter Efficient Self-supervised Geospatial Domain Adaptat...
VideoBooth: Diffusion-based Video Generation with Image Prompts Yuming Jiang,Tianxing Wu,Shuai Yang,Chenyang Si,Dahua Lin,Yu Qiao,Chen Change Loy,Ziwei Liu FromMMLab@NTUaffliated with S-Lab, Nanyang Technological University and Shanghai AI Laboratory. ...
Faster Non-Log-Concave Sampling via Diffusion-based Monte Carlo Abstract: Efficient sampling from complex non-log-concave distributions is a cornerstone of statistical computing and machine learning, yet it is challenged by stringe...
Jouffroy, J., Opderbecke, J.: Underwater navigation using diffusion-based trajectory observers. IEEE J. Oceanic Eng. 32, 313-326 (2007)Jouffroy J.,Opderbecke J.. Underwater Vehicle Navigation Using Diffusion-Based Trajectory Observers[J].IEEE Journal of Oceanic Engineering: A Journal Devoted ...