which are jointly adversarially trained with the generators and discriminators. We empirically demonstrate that our approach is able to attend to relevant regions in the image without requiring any additional supervision, and that by doing so it achieves more realistic mappings compared to recent ...
Software converts a photographic image into realistic and customized embroidery. Software reads photographic image, down-sampling or up-sampling so that a single pixel has a Density, One Grayscale image is created to calculate derivatives for each pixel using Sobel operator to calculate angle and ...
Monte Carlo is a good choice to compute the problem of global illumination in the field of realistic image synthesis. 在真实感图形生成领域里,蒙特卡罗方法是计算整体光照问题的极佳选择。 www.dictall.com 7. Study of Realistic Image Synthesis by Ray Tracing 光线追踪法生成真实感图形的研究 www.ilib....
Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" For earlier version, please check srgan release and tensorlayer. For more computer vision applications, check TLXCV SRGAN Architecture Prepare Data and Pre-trained VGG You need to download the pre...
Image-to-image translation allows images to be converted from one form to another while retaining essential features. The goal is to learn a mapping between the two domains and then generate realistic images in whatever style a designer chooses. This approach enables tasks such as style transfer,...
Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular Ed... Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular...
StackGAN针对“文本->图片”这个任务提出了一种新的GAN模型,值得学习这种“叠加GAN”的思想。 1. 文本生成图像 文本生成图像的任务,指的是根据一段话/文本,生成与文本对应的图片。比如我现在告诉你“一个篮球场上有四个人在踢足球”,你可以自行根据这句话脑补一个场景。我们也希望机器能有人类这般的“智能”效果...
原文链接:《StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks》 文章来源:2016年12月10日发表于 arXiv 一、文章简介: 针对根据文本句子描述生成图像的任务,借鉴别人提出两个GAN叠加在一起的结构,改进了输入条件的部分,使以前只能生成96*96的图片,而现在可以用于生成256...
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution - sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution
2 实际情况下,往往不存在HR图像作为参考,无参考的质量评估方法也值得研究。 参考 [1]https://arxiv.org/pdf/2103.02368.pdf [2]https://blog.csdn.net/qq_27825451/article/details/102954096 [3] Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution...