Generative Models

Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model EMNLP 2021 SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks ICCV 2021 Simulated Chats for Building Dialog Systems: Learning to Generate Conversations from Instructions EMNLP 2021 SinGAN-GIF: Learning a Generative Video Model From a Single GIF WACV 2021 Single-Photon Image Classification ICLR 2021 Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches CVPR 2021 SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ICML 2021 Sketch Your Own GAN ICCV 2021 Sliced Iterative Normalizing Flows ICML 2021 Slimmable Compressive Autoencoders for Practical Neural Image Compression CVPR 2021 Slimmable Generative Adversarial Networks AAAI 2021 SMD-Nets: Stereo Mixture Density Networks CVPR 2021 Smooth Normalizing Flows NeurIPS 2021 SMPLpix: Neural Avatars From 3D Human Models WACV 2021 SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data AAAI 2021 SNIPS: Solving Noisy Inverse Problems Stochastically NeurIPS 2021 SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain NAACL 2021 Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder CVPR 2021 Solving Aspect Category Sentiment Analysis as a Text Generation Task EMNLP 2021 Solving Inverse Problems with a Flow-based Noise Model ICML 2021 Some Theoretical Insights into Wasserstein GANs JMLR 2021 Space-Time Neural Irradiance Fields for Free-Viewpoint Video CVPR 2021 Sparse Flows: Pruning Continuous-depth Models NeurIPS 2021 Sparsity Aware Normalization for GANs AAAI 2021 Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling ICLR 2021