Generative Models

Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks ICCV 2019 Pluralistic Image Completion CVPR 2019 PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows ICCV 2019 Point-to-Point Video Generation ICCV 2019 Pose-preserving Cross Spectral Face Hallucination IJCAI 2019 Positional Normalization NeurIPS 2019 Practical Applicability of Deep Neural Networks for Overlapping Speaker Separation Interspeech 2019 Practical lossless compression with latent variables using bits back coding ICLR 2019 Predicting Future Frames Using Retrospective Cycle GAN CVPR 2019 Predicting Humor by Learning from Time-Aligned Comments Interspeech 2019 Predicting the Future: A Jointly Learnt Model for Action Anticipation ICCV 2019 Presence-Only Geographical Priors for Fine-Grained Image Classification ICCV 2019 Preventing Posterior Collapse with delta-VAEs ICLR 2019 Probabilistic Permutation Invariant Training for Speech Separation Interspeech 2019 Probability Distillation: A Caveat and Alternatives UAI 2019 Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019 Progressive Reconstruction of Visual Structure for Image Inpainting ICCV 2019 PU-GAN: A Point Cloud Upsampling Adversarial Network ICCV 2019 Pun-GAN: Generative Adversarial Network for Pun Generation EMNLP 2019 Quality Aware Generative Adversarial Networks NeurIPS 2019 Quantity doesn’t buy quality syntax with neural language models EMNLP 2019 Quantum Wasserstein Generative Adversarial Networks NeurIPS 2019 R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network CVPR 2019 Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning UAI 2019