Diffusion Models

Beltrami Flow and Neural Diffusion on Graphs NeurIPS 2021 Composing Normalizing Flows for Inverse Problems ICML 2021 Conditional Diffusion for Interactive Segmentation ICCV 2021 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NeurIPS 2021 D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation NeurIPS 2021 Deep Generative Learning via Schrödinger Bridge ICML 2021 Denoising Diffusion Implicit Models ICLR 2021 Diffusion Models Beat GANs on Image Synthesis NeurIPS 2021 Diffusion Normalizing Flow NeurIPS 2021 Diffusion Probabilistic Models for 3D Point Cloud Generation CVPR 2021 Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NeurIPS 2021 DiffWave: A Versatile Diffusion Model for Audio Synthesis ICLR 2021 GraphDF: A Discrete Flow Model for Molecular Graph Generation ICML 2021 ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models ICCV 2021 Improved Denoising Diffusion Probabilistic Models ICML 2021 Learning Energy-Based Models by Diffusion Recovery Likelihood ICLR 2021 Likelihood-Based Diverse Sampling for Trajectory Forecasting ICCV 2021 Maximum Likelihood Training of Score-Based Diffusion Models NeurIPS 2021 Restoring Degraded Speech via a Modified Diffusion Model Interspeech 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 Score-Based Point Cloud Denoising ICCV 2021 Sparse Flows: Pruning Continuous-depth Models NeurIPS 2021 Structured Denoising Diffusion Models in Discrete State-Spaces NeurIPS 2021