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Generative Adversarial Network

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Showing 2476–2500 of 3110 papers

TitleStatusHype
Patch-Based Image Inpainting with Generative Adversarial Networks—0
Patch-GAN Transfer Learning with Reconstructive Models for Cloud Removal—0
Rethinking Model Inversion Attacks With Patch-Wise Reconstruction—0
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification—0
Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry—0
PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression—0
PCE-GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement based on Optimal Transport—0
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters—0
PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpening—0
Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures—0
Pedestrian Wind Factor Estimation in Complex Urban Environments—0
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training—0
PEPSI++: Fast and Lightweight Network for Image Inpainting—0
PEPSI : Fast Image Inpainting With Parallel Decoding Network—0
Perceptual Generative Adversarial Networks for Small Object Detection—0
Perceptually-inspired super-resolution of compressed videos—0
Perceptually Optimized Generative Adversarial Network for Single Image Dehazing—0
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks—0
Persuasive Faces: Generating Faces in Advertisements—0
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network—0
PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild—0
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning—0
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning—0
PhishGAN: Data Augmentation and Identification of Homoglpyh Attacks—0
Unsupervised Dual Adversarial Learning for Anomaly Detection in Colonoscopy Video Frames—0
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