Generative Models

Sample Elicitation AISTATS 2021 Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021 Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021 Scalable Font Reconstruction with Dual Latent Manifolds EMNLP 2021 Scalable Normalizing Flows for Permutation Invariant Densities ICML 2021 Scaling Effect of Self-Supervised Speech Models Interspeech 2021 Scaling-Up Disentanglement for Image Translation ICCV 2021 Scene-Aware Generative Network for Human Motion Synthesis CVPR 2021 SceneGen: Learning To Generate Realistic Traffic Scenes CVPR 2021 Scene Synthesis via Uncertainty-Driven Attribute Synchronization ICCV 2021 Score-based Generative Modeling in Latent Space NeurIPS 2021 Score-Based Generative Modeling through Stochastic Differential Equations ICLR 2021 Score-based Generative Neural Networks for Large-Scale Optimal Transport NeurIPS 2021 SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention ACL 2021 Self-Conditioned Probabilistic Learning of Video Rescaling ICCV 2021 Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks NeurIPS 2021 Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators CVPR 2021 Self Normalizing Flows ICML 2021 Self-Supervised 3D Face Reconstruction via Conditional Estimation ICCV 2021 Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On CVPR 2021 Self-Supervised GANs with Label Augmentation NeurIPS 2021 Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models CVPR 2021 Self-Supervised Object Detection via Generative Image Synthesis ICCV 2021