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Methodology
← Models
Deep Learning
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Models
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Generative Models
6381 directly classified papers
Papers per year
2003: 2
2004: 1
2006: 3
2007: 3
2008: 6
2009: 5
2010: 11
2011: 14
2012: 17
2013: 23
2014: 17
2015: 34
2016: 64
2017: 150
2018: 286
2019: 566
2020: 626
2021: 827
2022: 730
2023: 1027
2024: 897
2025: 824
2026: 248
Papers
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction
CVPR 2020
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
CVPR 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
CVPR 2020
Learning to Measure the Static Friction Coefficient in Cloth Contact
CVPR 2020
PointGMM: A Neural GMM Network for Point Clouds
CVPR 2020
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning
CVPR 2020
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning
CVPR 2020
Leveraging 2D Data to Learn Textured 3D Mesh Generation
CVPR 2020
ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes
CVPR 2020
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models
UAI 2020
Distortion Agnostic Deep Watermarking
CVPR 2020
Semi-supervised Sequential Generative Models
UAI 2020
Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models
UAI 2020
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
AISTATS 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
NIPS 2020
Adversarial Robustness of Flow-Based Generative Models
AISTATS 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
NIPS 2020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
AAAI 2020
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
NIPS 2020
Conditional Generative Neural Decoding with Structured CNN Feature Prediction
AAAI 2020
Counterfactual Vision and Language Learning
CVPR 2020
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization
INTERSPEECH 2020
Unsupervised Audio Source Separation Using Generative Priors
INTERSPEECH 2020
Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network
INTERSPEECH 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information
AAAI 2020
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