Synthetic Data Generation
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
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Greatest papers with code
A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing
ICCV 2017
• fqnchina/CEILNet
• 
This paper proposes a deep neural network structure that exploits edge information in addressing representative low-level vision tasks such as layer separation and image filtering.
UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation
Gathering and annotating that sheer amount of data in the real world is a time-consuming and error-prone task.
DEPTH ESTIMATION OBJECT DETECTION SEMANTIC SEGMENTATION SYNTHETIC DATA GENERATION
HP-GAN: Probabilistic 3D human motion prediction via GAN
• ebarsoum/hpgan
• 
Our model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.
AUTONOMOUS VEHICLES MOTION ESTIMATION MOTION PREDICTION MOTION SYNTHESIS SYNTHETIC DATA GENERATION
Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger
DoppelGANger is designed to work on time series datasets with both continuous features (e. g. traffic measurements) and discrete ones (e. g., protocol name).
Supervised Symbolic Music Style Translation Using Synthetic Data
Research on style transfer and domain translation has clearly demonstrated the ability of deep learning-based algorithms to manipulate images in terms of artistic style.
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records
• astorfi/cor-gan
• 
To demonstrate the model fidelity, we show that CorGAN generates synthetic data with performance similar to that of real data in various Machine Learning settings such as classification and prediction.
SOTA for Synthetic Data Generation on UCI Epileptic Seizure Recognition (using extra training data)
DISEASE PREDICTION IMAGE CLASSIFICATION SYNTHETIC DATA GENERATION
Differentially Private Mixed-Type Data Generation For Unsupervised Learning
ICLR 2020
• DPautoGAN/DPautoGAN
•
In this work we introduce the DP-auto-GAN framework for synthetic data generation, which combines the low dimensional representation of autoencoders with the flexibility of Generative Adversarial Networks (GANs).
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
While automatic text extraction works well on infographics, computer vision approaches trained on natural images fail to identify the stand-alone visual elements in infographics, or `icons'.
Animal Detection in Man-made Environments
• abhineet123/animal_detection
•
Automatic detection of animals that have strayed into human inhabited areas has important security and road safety applications.
EDGE DETECTION OBJECT DETECTION SYNTHETIC DATA GENERATION TRANSFER LEARNING