Understanding Text-to-Image Models in AI Art

Understanding Text-to-Image Models in AI Art

Introduction AI art generation has started to enter the public eye. In the past year, a large number of text-to-image models have emerged, especially with the advent of Stable Diffusion and Midjourney, sparking a wave of AI art creation. Many artists have also begun to experiment with AI to assist in their artistic endeavors. This … Read more

Repeating And Remembering: The Associations Of GANs In An Art Context

Repeating And Remembering: The Associations Of GANs In An Art Context

Author: Anna Ridler Translator: Wang Mengyao Editor: Zheng Zhuyun Repeating and remembering: the associations of GANs in an art context Keywords: GAN Generative Adversarial Network, training set, pix2pix, image generation Note:GAN (Generative Adversarial Network): A machine learning framework designed by Ian Goodfellow and his colleagues in 2014, it is a method of unsupervised learning that … Read more

Overview of the Global GaN Power Industry Chain and Key Players

Overview of the Global GaN Power Industry Chain and Key Players

Source: Semiconductor Industry Observation In the field of power management, with the increasing demands for high voltage and high performance applications, GaN (Gallium Nitride) is gaining more attention. Theoretically, GaN provides technical advantages that surpass traditional silicon MOSFETs. Although the current power GaN market seems negligible compared to the $3.28 billion silicon power management market, … Read more

Introduction to GAN in 9102

Introduction to GAN in 9102

Click the “MLNLP” above to select the “star” public account Heavyweight content delivered promptly Source: Learning Notes of Qianmeng “ This article mainly introduces the recent developments and representative works of GAN (Generative Adversarial Networks) in distribution discrepancy measurement, IPM and regularization, dual learning, conditioning and control, resolution enhancement, evaluation metrics, etc. It is hoped … Read more

Synthesia Offers Professional-Level ADR Services Based on GAN

Synthesia Offers Professional-Level ADR Services Based on GAN

Synthesia recently released its “Native Dubbing” technology in collaboration with the BBC, which can seamlessly replace the facial expressions and lip movements of hosts or actors, addressing existing issues in video translation and Automated Dialogue Replacement (ADR). Synthesia aims to eliminate language barriers in video content, allowing producers and users to enjoy video content in … Read more

New Method Proposed by Software Institute to Enhance GAN Model Performance

New Method Proposed by Software Institute to Enhance GAN Model Performance

Recently, the research team of the National Key Laboratory of Space-Based Integrated Information System at the Software Institute had their paper Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation accepted by the top journal in the field of computer vision, the International Journal of Computer Vision (IJCV). The paper presents a … Read more

Development Series of GANs: PGGAN and SinGAN

Development Series of GANs: PGGAN and SinGAN

Development Series of GANs: PGGAN and SinGAN In the previous article, we introduced the basics of GANs (Generative Adversarial Networks) and some series of GANs. In the following series, we will continue to introduce some classic GANs. Introduction to GANs Development Series of GANs: CGAN, DCGAN, WGAN, WGAN-GP, LSGAN, BEGAN 1. PGGAN: Progressive Growing GAN … Read more

Designing Feature-Controlled Humanoid Antibody Libraries Using GANs

Designing Feature-Controlled Humanoid Antibody Libraries Using GANs

Antibodies are a class of important biotherapeutics, characterized by significant specificity and effectiveness. However, the high cost and long development time of monoclonal antibody therapies pose challenges for antibody treatment. Therapeutic antibodies must respond quickly to pathogens while ensuring safety. Due to the biophysical properties of many antibodies, they tend to aggregate, precipitate, or undergo … Read more

Comparing Two Major Generative Models in TensorFlow: VAE and GAN

Comparing Two Major Generative Models in TensorFlow: VAE and GAN

Proofread by: Zhu Jianghua Feng To ensure the quality of our publications and establish a good reputation, Data Dispatch has establishedthe “Typo Fund”, encouragingreaders to actively report errors. If you find any errors while reading this article, please leave a comment at theend of the article, or provide feedback in thebackground. After confirmation by the … Read more