Generative Models

NeurMiPs: Neural Mixture of Planar Experts for View Synthesis CVPR 2022 NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields ICML 2022 Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints NeurIPS 2022 Noise2NoiseFlow: Realistic Camera Noise Modeling Without Clean Images CVPR 2022 Non-Iterative Recovery From Nonlinear Observations Using Generative Models CVPR 2022 Nonlinear ICA Using Volume-Preserving Transformations ICLR 2022 Non-Linear Operator Approximations for Initial Value Problems ICLR 2022 Nonparametric Forest-Structured Neural Topic Modeling COLING 2022 Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes ICML 2022 NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis NeurIPS 2022 On Aliased Resizing and Surprising Subtleties in GAN Evaluation CVPR 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models NeurIPS 2022 On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NeurIPS 2022 One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations NeurIPS 2022 One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation NAACL 2022 On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022 On Predicting Generalization using GANs ICLR 2022 On Synthetic Data for Back Translation NAACL 2022 On Target Representation in Continuous-output Neural Machine Translation ACL 2022 On the Evaluation Metrics for Paraphrase Generation EMNLP 2022 On the expressivity of bi-Lipschitz normalizing flows ACML 2022 On the Limitations of Multimodal VAEs ICLR 2022 On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks ICLR 2022 On the probability–quality paradox in language generation ACL 2022 On the role of population heterogeneity in emergent communication ICLR 2022