generative model

Normalizing Flows on Tori and Spheres ICML 2020 Normalizing Flows With Multi-Scale Autoregressive Priors CVPR 2020 NVAE: A Deep Hierarchical Variational Autoencoder NeurIPS 2020 ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems AAAI 2020 Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm CVPR 2020 One-Shot Domain Adaptation for Face Generation CVPR 2020 On Implicit Regularization in $β$-VAEs ICML 2020 On Task-Level Dialogue Composition of Generative Transformer Model EMNLP 2020 On the Need for Topology-Aware Generative Models for Manifold-Based Defenses ICLR 2020 On the Power of Compressed Sensing with Generative Models ICML 2020 Optimal transport mapping via input convex neural networks ICML 2020 Panoptic-Based Image Synthesis CVPR 2020 Perceptual Generative Autoencoders ICML 2020 P-nets: Deep Polynomial Neural Networks CVPR 2020 PointGMM: A Neural GMM Network for Point Clouds CVPR 2020 PolyGen: An Autoregressive Generative Model of 3D Meshes ICML 2020 Posterior Control of Blackbox Generation ACL 2020 Precision-Recall Curves Using Information Divergence Frontiers AISTATS 2020 Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020 Preference-Based Image Generation WACV 2020 PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models CVPR 2020 Reconsidering Generative Objectives For Counterfactual Reasoning NeurIPS 2020 Reference Guided Face Component Editing IJCAI 2020 Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020 Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows ICML 2020