Generative Models

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Computer Vision • 96 methods

Generative Models aim to model data generatively (rather than discriminatively), that is they aim to approximate the probability distribution of the data. Below you can find a continuously updating list of generative models for computer vision.

Subcategories

1 Generative Adversarial Networks

2 Generative Training

3 Likelihood-Based Generative Models

Methods

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Method	Year	Papers
AutoEncoder Reducing the Dimensionality of Data with Neural Networks	2006	3570
GAN Generative Adversarial Networks	2014	1199
VAE Auto-Encoding Variational Bayes	2013	950
CycleGAN Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks	2017	307
StyleGAN A Style-Based Generator Architecture for Generative Adversarial Networks	2018	208
StyleGAN2 Analyzing and Improving the Image Quality of StyleGAN	2019	163
Denoising Autoencoder	2008	151
SAGAN Self-Attention Generative Adversarial Networks	2018	135
Restricted Boltzmann Machine	1986	127
VQ-VAE Neural Discrete Representation Learning	2017	114
BigGAN Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	100
EBM A Theory of Generative ConvNet	2016	91
Pix2Pix Image-to-Image Translation with Conditional Adversarial Networks	2016	88
WGAN Wasserstein GAN	2017	85
cVAE Learning Structured Output Representation using Deep Conditional Generative Models	2015	75
DCGAN Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	72
Deep Belief Network	2009	67
GLOW Glow: Generative Flow with Invertible 1x1 Convolutions	2018	41
PixelCNN Pixel Recurrent Neural Networks	2016	36
Denoising Score Matching Generative Modeling by Estimating Gradients of the Data Distribution	2019	32
InfoGAN InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	28
Beta-VAE beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework	2017	25
SRGAN Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2016	24
Sparse Autoencoder	2000	23
HiFi-GAN HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis	2020	21
RAE From Variational to Deterministic Autoencoders	2019	18
LSGAN Least Squares Generative Adversarial Networks	2016	18
Hierarchical VAE Ladder Variational Autoencoders	2016	17
NICE NICE: Non-linear Independent Components Estimation	2014	14
BiGAN Adversarial Feature Learning	2016	14
Deep Boltzmann Machine	2000	14
RealNVP Density estimation using Real NVP	2016	14
SNGAN Spectral Normalization for Generative Adversarial Networks	2018	12
ProGAN Progressive Growing of GANs for Improved Quality, Stability, and Variation	2017	12
BigGAN-deep Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	11
WGAN GP Improved Training of Wasserstein GANs	2017	11
Style Transfer Module Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization	2017	10
SIG Sliced Iterative Normalizing Flows	2020	8
LOGAN LOGAN: Latent Optimisation for Generative Adversarial Networks	2019	6
VQ-VAE-2 Generating Diverse High-Fidelity Images with VQ-VAE-2	2019	5
NVAE NVAE: A Deep Hierarchical Variational Autoencoder	2020	5
ALI Adversarially Learned Inference	2016	5
SAG Improving Sample Quality of Diffusion Models Using Self-Attention Guidance	2022	5
SDAE	2000	5
Contractive Autoencoder	2011	5
GEE Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes	2021	5
Relativistic GAN The relativistic discriminator: a key element missing from standard GAN	2018	5
LAPGAN Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks	2015	4
BigBiGAN Large Scale Adversarial Representation Learning	2019	4
PixelRNN Pixel Recurrent Neural Networks	2016	4
DE-GAN	2000	3
ACGPN Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content	2020	3
TGAN Temporal Generative Adversarial Nets with Singular Value Clipping	2016	3
ControlVAE ControlVAE: Tuning, Analytical Properties, and Performance Analysis	2020	3
CS-GAN Deep Compressed Sensing	2019	3
OTM Generative Modeling with Optimal Transport Maps	2021	3
IAN Neural Photo Editing with Introspective Adversarial Networks	2016	3
GFP-GAN Towards Real-World Blind Face Restoration with Generative Facial Prior	2021	2
CTAB-GAN Effective and Privacy preserving Tabular Data Synthesizing	2021	2
U-Net GAN A U-Net Based Discriminator for Generative Adversarial Networks	2020	2
StyleALAE Adversarial Latent Autoencoders	2020	2
ALAE Adversarial Latent Autoencoders	2020	2
PFGM Poisson Flow Generative Models	2022	2
MSGAN Multi-source Domain Adaptation for Visual Sentiment Classification	2020	2
LipGAN Towards Automatic Face-to-Face Translation	2020	2
LapStyle Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer	2021	2
PrivacyNet PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy	2020	1
PSFR-GAN Progressive Semantic-Aware Style Transformation for Blind Face Restoration	2020	1
Vision-aided GAN Ensembling Off-the-shelf Models for GAN Training	2021	1
HiSD Image-to-image Translation via Hierarchical Style Disentanglement	2021	1
Attentional Liquid Warping GAN Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis	2020	1
HDCGAN High-Resolution Deep Convolutional Generative Adversarial Networks	2017	1
StyleMapGAN Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing	2021	1
Viewmaker Network Viewmaker Networks: Learning Views for Unsupervised Representation Learning	2020	1
Attribute2Font Attribute2Font: Creating Fonts You Want From Attributes	2020	1
ALIS Aligning Latent and Image Spaces to Connect the Unconnectable	2021	1
k-Sparse Autoencoder k-Sparse Autoencoders	2013	1
DVD-GAN Adversarial Video Generation on Complex Datasets	2019	1
Anycost GAN Anycost GANs for Interactive Image Synthesis and Editing	2021	1
PresGAN Prescribed Generative Adversarial Networks	2019	1
ILVR ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models	2021	1
StyleSwin	2000	1
TrIVD-GAN Transformation-based Adversarial Video Prediction on Large-Scale Data	2020	1
CurvVAE Learning from Demonstration using a Curvature Regularized Variational Auto-Encoder (CurvVAE)	2022	1
DU-GAN DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising	2021	1
Self-Attention Guidance Improving Sample Quality of Diffusion Models Using Self-Attention Guidance	2022	1
Informative Sample Mining Network Informative Sample Mining Network for Multi-Domain Image-to-Image Translation	2020	1
Topographic VAE Topographic VAEs learn Equivariant Capsules	2021	1

Generative Models Edit

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