Conditional GAN

DeepNude Algorithm Clothing Removal Principle Analysis

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DeepNude Algorithm Clothing Removal Principle Analysis

DeepNude algorithm “removing” clothes – Welfare Bar http://fulibus.net/deepnude.html First, the file is as shown Deep learning computer vision (speculated) Image Inpainting You can refer to NVIDIA’s paper using partial convolution and partial convolution-based filling to repair images with irregular holes. The code part of the paper is converted. Paper address: https://arxiv.org/abs/1804.07723 and https://arxiv.org/abs/1811.11718 In the … Read more

Implementing Image Inpainting with TensorFlow and Deep Learning

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Implementing Image Inpainting with TensorFlow and Deep Learning

Big Data Digest article, see the end of the article for reposting requirements Author | Brandon Amos Translation | Molly, Han Xiaoyang Table of Contents ■ Introduction ■ Step 1: Understanding Images as Samples from a Probability Distribution How do you fill in missing information? But how do you start with statistics? These are all … Read more

Development and Latest Applications of Generative Adversarial Networks (GAN)

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Development and Latest Applications of Generative Adversarial Networks (GAN)

In recent years, Generative Adversarial Networks (GAN) have rapidly developed and become one of the main research directions in the field of machine learning. GAN is based on the idea of zero-sum games, where its generator and discriminator learn in opposition to capture the data distribution of given samples, generating new sample data. A large … Read more

Applications of Generative Adversarial Networks in Alzheimer’s Disease Diagnosis and Neuroimaging Data Processing

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Applications of Generative Adversarial Networks in Alzheimer's Disease Diagnosis and Neuroimaging Data Processing

Highlights: This article systematically reviews the application of a deep learning method—Generative Adversarial Networks (GANs)—in the auxiliary diagnosis of Alzheimer’s Disease (AD) and the processing of neuroimaging data (image denoising, image segmentation, data augmentation, and modality conversion); This article finds that compared to other methods, GANs exhibit higher classification accuracy in AD auxiliary diagnosis tasks … Read more

GAN Network Image Translator: Image Restoration and Enhancement

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GAN Network Image Translator: Image Restoration and Enhancement

1 New Intelligence Column Author: Liu Shiqiang [New Intelligence Guide] This article introduces the application of deep learning methods in the field of image translation by implementing an encoding-decoding “image translator” for image enhancement, showcasing the effectiveness of deep learning applications in image translation. In recent years, deep learning has achieved remarkable results in image … Read more

Research Progress and Prospects of Generative Adversarial Networks (GAN)

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Research Progress and Prospects of Generative Adversarial Networks (GAN)

[Brief Note] From July 17 to 18, 2017, the first session of the Frontier Lecture Series on Intelligent Automation, organized by the Chinese Association of Automation, was held in Beijing. To promote in-depth research on the theories, methods, technologies, and applications related to Generative Adversarial Networks (GAN), the first session invited several well-known scholars from … Read more

Comprehensive Guide to GANs: Theory, Reports, Tutorials, and Code

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Comprehensive Guide to GANs: Theory, Reports, Tutorials, and Code

Click the “Expert Knowledge” above to follow for more AI knowledge! [Introduction] Thematic aggregation knowledge is one of the core functions of Expert Knowledge, providing users with systematic knowledge learning services in the field of AI. Thematic aggregation offers users a collection of the essence (Awesome) knowledge materials about the theme from the entire network, … Read more

Overview of Generative Adversarial Networks (GAN) and Its Variants

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Overview of Generative Adversarial Networks (GAN) and Its Variants

Previously introduced were CNN (Convolutional Neural Network), BNN (Binarized Neural Network), dual-learning NMT and DBN, as well as deep learning optimization algorithms Batch Normalization and Layer Normalization. Students interested can add the WeChat public account “Deep Learning and NLP“, reply with keywords “CNN”, “BNN“, “dual”, “DBN“, BN and LN to get the corresponding article links. … Read more

What Is GAN and How to Use DCGAN to Generate Anime Avatars

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What Is GAN and How to Use DCGAN to Generate Anime Avatars

Hello everyone, today we will discuss Generative Adversarial Networks, and how to create anime avatars. In this lesson, we will design and implement a Convolutional Generative Adversarial Network (DCGAN): Then we will use this network to generate various anime avatars. 1. What Are Generative Adversarial Networks Generative Adversarial Networks, abbreviated as GAN. GAN is an … Read more