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Generative Adversarial Network

Papers

Showing 726750 of 3110 papers

TitleStatusHype
DeepChrome 2.0: Investigating and Improving Architectures, Visualizations, & ExperimentsCode0
Rob-GAN: Generator, Discriminator, and Adversarial AttackerCode0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning TechniquesCode0
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial NetworksCode0
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image TranslationCode0
Controllable Text-to-Image GenerationCode0
Deep CT to MR Synthesis using Paired and Unpaired DataCode0
Fine-Grained Scene Graph Generation via Sample-Level Bias PredictionCode0
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-ResolutionCode0
Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial NetworkCode0
FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slidesCode0
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service InferenceCode0
Adversarial System Variant Approximation to Quantify Process Model GeneralizationCode0
CoDeGAN: Contrastive Disentanglement for Generative Adversarial NetworkCode0
Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy PlansCode0
Fence GAN: Towards Better Anomaly DetectionCode0
DeepFakes: a New Threat to Face Recognition? Assessment and DetectionCode0
DeepFlow: History Matching in the Space of Deep Generative ModelsCode0
Generating Adversarial Malware Examples for Black-Box Attacks Based on GANCode0
A deep learning approach for marine snow synthesis and removalCode0
Fast Underwater Image Enhancement for Improved Visual PerceptionCode0
Deep Generative Filter for Motion DeblurringCode0
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI SegmentationsCode0
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistencyCode0
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