Generative Models

A Unified View of cGANs with and without Classifiers NeurIPS 2021 AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021 Automated triaging of head MRI examinations using convolutional neural networks MIDL 2021 Automatic Construction of Enterprise Knowledge Base EMNLP 2021 Automatic Correction of Internal Units in Generative Neural Networks CVPR 2021 Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization ICLR 2021 Autoregressive Stylized Motion Synthesis With Generative Flow CVPR 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition Interspeech 2021 BASS: Boosting Abstractive Summarization with Unified Semantic Graph ACL 2021 Bayesian Context Aggregation for Neural Processes ICLR 2021 Bayesian Deep Learning via Subnetwork Inference ICML 2021 Behavior-Driven Synthesis of Human Dynamics CVPR 2021 Benchmarking Ultra-High-Definition Image Super-Resolution ICCV 2021 Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution WACV 2021 Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis IJCAI 2021 BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation ICCV 2021 BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation NeurIPS 2021 BlockPlanner: City Block Generation With Vectorized Graph Representation ICCV 2021 Blur, Noise, and Compression Robust Generative Adversarial Networks CVPR 2021 BooVAE: Boosting Approach for Continual Learning of VAE NeurIPS 2021 Bounds all around: training energy-based models with bidirectional bounds NeurIPS 2021 Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis ICLR 2021 Box-To-Box Transformations for Modeling Joint Hierarchies ACL 2021