MimesisMimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.
recurrent-defocus-deblurring-synth-dual-pixelReference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…
IR-GANAugmenting Room Impulse Response
obman render[cvpr19] Code to generate images from the ObMan dataset, synthetic renderings of hands holding objects (or hands in isolation)
genstarGeneration of Synthetic Populations Library
SDMetricsMetrics to evaluate quality and efficacy of synthetic datasets.
augraphyAugmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
uoaisCodes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022
game-feature-learningCode for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
Clustering-DatasetsThis repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
Robotics-Object-Pose-EstimationA complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
VisDA2020VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20
multi-task-defocus-deblurring-dual-pixel-nimatReference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …
zpySynthetic data for computer vision. An open source toolkit using Blender and Python.
DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
SDGymBenchmarking synthetic data generation methods.
synthThe Declarative Data Generator
BadMedicineLibrary and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system
genalogGenalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
FAST-RIRThis is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
smognSynthetic Minority Over-Sampling Technique for Regression
SegSwap(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery