Generative Models
8,597 papers
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Papers
Leveraging 2D Data to Learn Textured 3D Mesh Generation
CVPR 2020
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
NeurIPS 2020
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog
AAAI 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
NeurIPS 2020
Linear Time Sinkhorn Divergences using Positive Features
NeurIPS 2020
Listening to Sounds of Silence for Speech Denoising
NeurIPS 2020
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
CVPR 2020
Locally Masked Convolution for Autoregressive Models
UAI 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks
ICML 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks
NeurIPS 2020
ManiGAN: Text-Guided Image Manipulation
CVPR 2020
MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets
AAAI 2020
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict
Interspeech 2020
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
CVPR 2020
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model
CVPR 2020
McFlow: Monte Carlo Flow Models for Data Imputation
CVPR 2020
Meta-Amortized Variational Inference and Learning
AAAI 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
AAAI 2020
Meta-Learning Deep Energy-Based Memory Models
ICLR 2020
Meta-Learning for Generalized Zero-Shot Learning
AAAI 2020
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination
WACV 2020
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images
CVPR 2020
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
NeurIPS 2020
MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis
CVPR 2020
Mixed-curvature Variational Autoencoders
ICLR 2020