Models

Creative Sketch Generation ICLR 2021 Crossfire Conditional Generative Adversarial Networks for Singing Voice Extraction Interspeech 2021 Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images CVPR 2021 Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates ACML 2021 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NeurIPS 2021 CTAB-GAN: Effective Table Data Synthesizing ACML 2021 Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding CVPR 2021 D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation NeurIPS 2021 D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images CVPR 2021 DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis ICCV 2021 DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks ACML 2021 Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective NeurIPS 2021 Data-Efficient Instance Generation from Instance Discrimination NeurIPS 2021 Data Efficient Masked Language Modeling for Vision and Language EMNLP 2021 Dataset Condensation with Gradient Matching ICLR 2021 DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort CVPR 2021 DECA: Deep Viewpoint-Equivariant Human Pose Estimation Using Capsule Autoencoders ICCV 2021 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NeurIPS 2021 Decentralized Attribution of Generative Models ICLR 2021 De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation ACL 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