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Listen "Ep29: Exploring GANs: From CoGAN to StyleGAN"
Episode Synopsis
Description:
Join us on this deep dive into the fascinating world of Generative Adversarial Networks (GANs). In this episode, we explore the key advancements in GAN technology and their impact on the AI landscape.
Episode Highlights:
CoGAN: Understanding Conditional Generative Adversarial Nets and their applications.
DCGAN: Unsupervised representation learning with Deep Convolutional GANs.
pix2pix: Innovations in image-to-image translation with Conditional Adversarial Networks.
WGAN: Insights into Wasserstein GAN and its improvements over traditional GANs.
CycleGAN: Exploring unpaired image-to-image translation using cycle-consistent adversarial networks.
ProGAN: Delving into the progressive growing of GANs for enhanced quality, stability, and variation.
StyleGAN: A comprehensive look at the style-based generator architecture for GANs.
Tune in to gain valuable insights into these groundbreaking technologies and their real-world applications.
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Introducing GPT-4o and more tools to ChatGPT free users | OpenAI
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[2403.04132] Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
NASA Appoints Agency’s First AI Officer
Google DeepMind's text-to-video model Veo creates 60 second video
Google I/O 2024: Introducing Veo and Imagen 3 generative AI tools
[2405.04434] DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN | Oncotarget
New Flash Chips Designed to Power AI on Smartphones
References for main topic:
CoGAN - [1411.1784] Conditional Generative Adversarial Nets
DCGAN [1511.06434] Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
pix2pix [1611.07004] Image-to-Image Translation with Conditional Adversarial Networks
WGAN [1701.07875] Wasserstein GAN
CycleGAN [1703.10593] Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
ProGAN [1710.10196] Progressive Growing of GANs for Improved Quality, Stability, and Variation
StyleGAN [1812.04948] A Style-Based Generator Architecture for Generative Adversarial Networks
Join us on this deep dive into the fascinating world of Generative Adversarial Networks (GANs). In this episode, we explore the key advancements in GAN technology and their impact on the AI landscape.
Episode Highlights:
CoGAN: Understanding Conditional Generative Adversarial Nets and their applications.
DCGAN: Unsupervised representation learning with Deep Convolutional GANs.
pix2pix: Innovations in image-to-image translation with Conditional Adversarial Networks.
WGAN: Insights into Wasserstein GAN and its improvements over traditional GANs.
CycleGAN: Exploring unpaired image-to-image translation using cycle-consistent adversarial networks.
ProGAN: Delving into the progressive growing of GANs for enhanced quality, stability, and variation.
StyleGAN: A comprehensive look at the style-based generator architecture for GANs.
Tune in to gain valuable insights into these groundbreaking technologies and their real-world applications.
AI News:
Introducing GPT-4o and more tools to ChatGPT free users | OpenAI
Be My Eyes Accessibility with GPT-4o
[2403.04132] Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
NASA Appoints Agency’s First AI Officer
Google DeepMind's text-to-video model Veo creates 60 second video
Google I/O 2024: Introducing Veo and Imagen 3 generative AI tools
[2405.04434] DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN | Oncotarget
New Flash Chips Designed to Power AI on Smartphones
References for main topic:
CoGAN - [1411.1784] Conditional Generative Adversarial Nets
DCGAN [1511.06434] Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
pix2pix [1611.07004] Image-to-Image Translation with Conditional Adversarial Networks
WGAN [1701.07875] Wasserstein GAN
CycleGAN [1703.10593] Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
ProGAN [1710.10196] Progressive Growing of GANs for Improved Quality, Stability, and Variation
StyleGAN [1812.04948] A Style-Based Generator Architecture for Generative Adversarial Networks
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