for generating a high-resolution image, and if the time of period of shutter-on is reduced and the time of period of shutter-off is increased, the time deviation is made conspicuous, and when an irradiation amount of a subject image is extremely small, a practical image cannot be obtained...
[CVPR2018笔记]High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs 李光睿 我见青山多妩媚 来自专栏 · CVPR论文笔记 27 人赞同了该文章 CVPR 2018 ORAL 本文解决了GAN生成高分辨率突破的问题,分辨率达到了2048*1024,方法精细,值得深入来看。 先来看generator: 如图言,中间部分的G1在低...
【文章题目】Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting 【文章出处】CVPR2020 【摘要】最近,数据驱动的图像修复方法取得了令人鼓舞的进展,影响了图像编辑的基本任务,如物体去除和受损图像修复。这些方法比经典方法更有效,然而,由于内存限制,它们只能处理通常小于1K的低分辨率输入。同时,使用...
we seek to explore using pure transformers to build a generative adversarial network for high-resolution image synthesis. To this end, we believe that local attention is crucial to strike the balance between computational efficiency and modeling capacity. Hence, the proposed generator adopts Swin trans...
[VQ-GAN](Taming Transformers for High-Resolution Image Synthesis) 时间:CVPR2021 oral 21.06 机构:Heidelberg Collaboratory for Image Processing, IWR, Heidelberg University, Germany 代码可参考Stable Diffusion中实现:https://github.com/CompVis/stable-diffusion/tree/main/configs/autoencoder ...
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交互式拓展2:提取实例级特征,实现一对多的图像生成,支持物体的特征编辑。 方法 1. 主功能 主功能是一个coarse to fine的过程。分为三个部分:coarse-to-fine generator, multi-scale discriminators, improved adversarial loss。 coarse-to-fine generator ...
Taming Transformers for High-Resolution Image Synthesis Patrick Esser*, Robin Rombach*, Björn Ommer * equal contribution tl;dr We combine the efficiancy of convolutional approaches with the expressivity of transformers by introducing a convolutional VQGAN, which learns a codebook of context-rich vis...
Generative adversarial Network (GAN) is a powerful deep learning algorithm that synthesizes high-resolution images in an unsupervised manner13. GAN is composed of two deep-learning networks: a generator, which attempts to synthesize realistic images, and a discriminator, which learns image ...
High-Resolution Image Synthesis richard huang 华为2012,AIGC、多模态学习、深度学习基础研究 4 人赞同了该文章 概述 之前GAN生成的图像要么只能到512这个级别,要么生成高分辨率的图像会丢失很多细节或者有比较多的artifact,这篇文章是pix2pix原帮人马写的,他们在pix2pix的基础上解决了一个大难题,也就是通过一定技术...