Generative Models

AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild" CVPR 2020 AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020 BachGAN: High-Resolution Image Synthesis From Salient Object Layout CVPR 2020 Background Matting: The World Is Your Green Screen CVPR 2020 Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning EMNLP 2020 Barking up the right tree: an approach to search over molecule synthesis DAGs NeurIPS 2020 Batch norm with entropic regularization turns deterministic autoencoders into generative models UAI 2020 Bayesian Adversarial Human Motion Synthesis CVPR 2020 Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance AAAI 2020 Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data COLING 2020 Better AMR-To-Text Generation with Graph Structure Reconstruction IJCAI 2020 Beyond [CLS] through Ranking by Generation EMNLP 2020 Bi-Directional Generation for Unsupervised Domain Adaptation AAAI 2020 Bi-level Score Matching for Learning Energy-based Latent Variable Models NeurIPS 2020 Black-Box Optimization with Local Generative Surrogates NeurIPS 2020 BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images NeurIPS 2020 Bootstrapping neural processes NeurIPS 2020 Breaking the Cycle - Colleagues Are All You Need CVPR 2020 Bridged Variational Autoencoders for Joint Modeling of Images and Attributes WACV 2020 Bridging Maximum Likelihood and Adversarial Learning via α-Divergence AAAI 2020 Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020 BSP-Net: Generating Compact Meshes via Binary Space Partitioning CVPR 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction NeurIPS 2020 CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language WACV 2020