Generative Models

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation UAI 2021 Object-Centric Image Generation from Layouts AAAI 2021 Object-Centric Representation Learning with Generative Spatial-Temporal Factorization NeurIPS 2021 ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations CoRL 2021 OCONet: Image Extrapolation by Object Completion CVPR 2021 Omni-GAN: On the Secrets of cGANs and Beyond ICCV 2021 On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021 One-shot Face Reenactment Using Appearance Adaptive Normalization AAAI 2021 One-Shot Voice Conversion with Speaker-Agnostic StarGAN Interspeech 2021 On Generating Transferable Targeted Perturbations ICCV 2021 Online Multi-Granularity Distillation for GAN Compression ICCV 2021 On Memorization in Probabilistic Deep Generative Models NeurIPS 2021 On Self-Supervised Image Representations for GAN Evaluation ICLR 2021 On the distribution of penultimate activations of classification networks UAI 2021 On the Frequency Bias of Generative Models NeurIPS 2021 On the Generative Utility of Cyclic Conditionals NeurIPS 2021 On the Power of Edge Independent Graph Models NeurIPS 2021 On the Privacy Properties of GAN-generated Samples AISTATS 2021 On the Stochastic Stability of Deep Markov Models NeurIPS 2021 OodGAN: Generative Adversarial Network for Out-of-Domain Data Generation NAACL 2021 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021 OpenGAN: Open-Set Recognition via Open Data Generation ICCV 2021 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime ICLR 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021 Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning NAACL 2021