Synthetic Data Generation

64 papers with code • 1 benchmarks • 3 datasets

The generation of tabular data by any means possible.

Libraries

Use these libraries to find Synthetic Data Generation models and implementations

Most implemented papers

Wasserstein GAN

eriklindernoren/PyTorch-GAN 26 Jan 2017

We introduce a new algorithm named WGAN, an alternative to traditional GAN training.

Improved Training of Wasserstein GANs

igul222/improved_wgan_training NeurIPS 2017

Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training instability.

HP-GAN: Probabilistic 3D human motion prediction via GAN

ebarsoum/hpgan 27 Nov 2017

Our model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.

Burst Denoising with Kernel Prediction Networks

google/burst-denoising CVPR 2018

We present a technique for jointly denoising bursts of images taken from a handheld camera.

Synthetic QA Corpora Generation with Roundtrip Consistency

patil-suraj/question_generation ACL 2019

We introduce a novel method of generating synthetic question answering corpora by combining models of question generation and answer extraction, and by filtering the results to ensure roundtrip consistency.

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

fjxmlzn/DoppelGANger 30 Sep 2019

By shedding light on the promise and challenges, we hope our work can rekindle the conversation on workflows for data sharing.

CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data

topo-epfl/crossloc 16 Dec 2021

We present a visual localization system that learns to estimate camera poses in the real world with the help of synthetic data.

Scenic: A Language for Scenario Specification and Scene Generation

BerkeleyLearnVerify/Scenic 25 Sep 2018

We propose a new probabilistic programming language for the design and analysis of perception systems, especially those based on machine learning.

UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation

3dperceptionlab/unrealrox 16 Oct 2018

Gathering and annotating that sheer amount of data in the real world is a time-consuming and error-prone task.

Privacy-preserving data sharing via probabilistic modelling

DPBayes/data-sharing-examples 10 Dec 2019

Differential privacy allows quantifying privacy loss resulting from accessing sensitive personal data.