Generative Models

Dataset Condensation with Gradient Matching ICLR 2021 DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort CVPR 2021 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NeurIPS 2021 Decentralized Attribution of Generative Models ICLR 2021 Deconvolutional Networks on Graph Data NeurIPS 2021 DECOR-GAN: 3D Shape Detailization by Conditional Refinement CVPR 2021 Decoupling Global and Local Representations via Invertible Generative Flows ICLR 2021 DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance CVPR 2021 DeepCAD: A Deep Generative Network for Computer-Aided Design Models ICCV 2021 DeepCFL: Deep Contextual Features Learning From a Single Image WACV 2021 DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning AAAI 2021 Deep Cox Mixtures for Survival Regression MLHC 2021 Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19 AAAI 2021 Deep Extrapolation for Attribute-Enhanced Generation NeurIPS 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Deep Generative Analysis for Task-Based Functional MRI Experiments MLHC 2021 Deep Generative Learning via Schrödinger Bridge ICML 2021 Deep Generative Missingness Pattern-Set Mixture Models AISTATS 2021 Deep Homography for Efficient Stereo Image Compression CVPR 2021 Deep kernel processes ICML 2021 Deep Learning in Latent Space for Video Prediction and Compression CVPR 2021 Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis NeurIPS 2021 Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data NeurIPS 2021 DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates CVPR 2021 DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation WACV 2021