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Generative Adversarial Network

Papers

Showing 101125 of 3110 papers

TitleStatusHype
Accuracy on In-Domain Samples Matters When Building Out-of-Domain detectors: A Reply to Marek et al. (2021)Code1
Collapse by Conditioning: Training Class-conditional GANs with Limited DataCode1
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksCode1
Attacking Recommender Systems with Augmented User ProfilesCode1
Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial TrainingCode1
A Dual-branch Network for Infrared and Visible Image FusionCode1
Conditional Brownian Bridge Diffusion Model for VHR SAR to Optical Image TranslationCode1
AGTGAN: Unpaired Image Translation for Photographic Ancient Character GenerationCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Audio-based drone detection and identification using deep learning techniques with dataset enhancement through generative adversarial networksCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Autoencoding beyond pixels using a learned similarity metricCode1
Conditional GAN for timeseries generationCode1
Difficulty-Aware Simulator for Open Set RecognitionCode1
Avocodo: Generative Adversarial Network for Artifact-free VocoderCode1
BachGAN: High-Resolution Image Synthesis from Salient Object LayoutCode1
Adversarial Directed Graph EmbeddingCode1
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemicCode1
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized CodebaseCode1
DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial NetworksCode1
BatVision with GCC-PHAT Features for Better Sound to Vision PredictionsCode1
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial NetworkCode1
A generative adversarial network approach to calibration of local stochastic volatility modelsCode1
Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-NetCode1
Exploiting Chain Rule and Bayes' Theorem to Compare Probability DistributionsCode1
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