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Methods/StyleGAN2

StyleGAN2

Computer VisionIntroduced 200049 papers
Source Paper

Description

StyleGAN2 is a generative adversarial network that builds on StyleGAN with several improvements. First, adaptive instance normalization is redesigned and replaced with a normalization technique called weight demodulation. Secondly, an improved training scheme upon progressively growing is introduced, which achieves the same goal - training starts by focusing on low-resolution images and then progressively shifts focus to higher and higher resolutions - without changing the network topology during training. Additionally, new types of regularization like lazy regularization and path length regularization are proposed.

Papers Using This Method

Pose and Facial Expression Transfer by using StyleGAN2025-04-17The GAN is dead; long live the GAN! A Modern GAN Baseline2025-01-09Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement2024-12-23MyTimeMachine: Personalized Facial Age Transformation2024-11-21Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization2024-10-27Stool Recognition for Colorectal Cancer Detection through Deep Learning2024-10-19MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance2024-09-17Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture2024-07-28TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation2023-04-26ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation2022-11-25Evaluating the Performance of StyleGAN2-ADA on Medical Images2022-10-07Are GAN-based Morphs Threatening Face Recognition?2022-05-05Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?2022-01-17GAN-Supervised Dense Visual Alignment2021-12-09Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection2021-08-28Content-Aware GAN Compression2021-04-06On the Applicability of Synthetic Data for Face Recognition2021-04-06Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation2021-03-31Labels4Free: Unsupervised Segmentation using StyleGAN2021-03-27Matched sample selection with GANs for mitigating attribute confounding2021-03-24