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Generative Models

6381 directly classified papers

Papers per year

Papers

T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion IJCAI 2019
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks IJCAI 2019
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis NIPS 2019
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging ICCV 2019
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN ICML 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System ICML 2019
A Personalized Affective Memory Model for Improving Emotion Recognition ICML 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models ICCV 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 NIPS 2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer ICCV 2019
A Decoupled 3D Facial Shape Model by Adversarial Training ICCV 2019
Spatial Fusion GAN for Image Synthesis CVPR 2019
Attribute Manipulation Generative Adversarial Networks for Fashion Images ICCV 2019
Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation CVPR 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation ICCV 2019
FSGAN: Subject Agnostic Face Swapping and Reenactment ICCV 2019
Video Compression With Rate-Distortion Autoencoders ICCV 2019
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks ICCV 2019
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation ICCV 2019
GANalyze: Toward Visual Definitions of Cognitive Image Properties ICCV 2019
Hilbert-Based Generative Defense for Adversarial Examples ICCV 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers ICCV 2019
SinGAN: Learning a Generative Model From a Single Natural Image ICCV 2019
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data ICCV 2019