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Generative Models

1275 directly classified papers

Papers per year

Papers

REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NIPS 2017
Reconstructing perceived faces from brain activations with deep adversarial neural decoding NIPS 2017
Wasserstein Learning of Deep Generative Point Process Models NIPS 2017
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks CVPR 2017
Flexible Spatio-Temporal Networks for Video Prediction CVPR 2017
High-Resolution Image Inpainting Using Multi-Scale Neural Patch Synthesis CVPR 2017
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition CVPR 2017
Robust Imitation of Diverse Behaviors NIPS 2017
Continual Learning with Deep Generative Replay NIPS 2017
Introspective Classification with Convolutional Nets NIPS 2017
Bayesian GAN NIPS 2017
Pose Guided Person Image Generation NIPS 2017
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data CVPR 2017
One-To-Many Network for Visually Pleasing Compression Artifacts Reduction CVPR 2017
Learning to See Physics via Visual De-animation NIPS 2017
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 2017
Good Semi-supervised Learning That Requires a Bad GAN NIPS 2017
Generalizing GANs: A Turing Perspective NIPS 2017
Neural Discrete Representation Learning NIPS 2017
Stabilizing Training of Generative Adversarial Networks through Regularization NIPS 2017
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis NIPS 2017
Toward Multimodal Image-to-Image Translation NIPS 2017
Synthesizing Normalized Faces From Facial Identity Features CVPR 2017
Generative Face Completion CVPR 2017
Controlling Perceptual Factors in Neural Style Transfer CVPR 2017