There are 5 repositories under synthetic-images topic.
A list of synthetic dataset and tools for computer vision
A curated list of awesome projects which use Machine Learning to generate synthetic content.
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
BEDLAM (CVPR 2023) render pipeline tools
Omnidirectional Synthetic image generator for Computer Vision
Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.
Repository for Transfer Learning using Deep CNNs trained with synthetic images
These functions will randomly distort image data to amplify total amount of images for use in machine learning algorithms.
ENRICH: multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry
A semi-synthetic dataset generation tool, specifically crafted for CNN training in drone racing.
Python version of the FluxCompensator described in Koepferl & Robitaille (ApJ, 2017)
A tool to create a synthetic data set, with annotations in the Pascal VOC Format, for use in object classification and detection/tracking.
Generate realistic synthetic images using unsupervised learning techniques of Generative Adversarial Networks (GANs)
Minimal example of domain translation using CycleGAN, applied to OCR image data.
Generated mold
Implementation of synthetic refocusing imaging and image-based relighting.
The Illustris Virtual Observatory is an expanded iteration of the Sunpy module(ptorrey) for creating synthetic SDSS, HST, or JWST images of galaxies from the Illustris simulation. For instructions on how to install/use this program, please go to this address:
Generate synthetic image using DCGAN on fashion mnist data
Сhess game image generation using unity3d
Tool for generating synthetic images for natural language text descriptions in English.
Generate synthetic image using DCGAN on mnist data
'Robust Deepfake Detection' project for the Deep Learning course at ETH Zurich, 2021. Authors (alphabetic): David Kamm, Nicolas Muntwyler, Alexander Timans, Moritz Vandenhirtz.
Torch implementation of minGPT for images latent code generation
Binary classification algorithm and synthetic images generator based on network theory
The CGI2Real_Multi-Class_Image_Classifier categorizes humans, horses, or both using transfer learning from Inception CNN. Trained on synthetic images, it can also classify real ones.
Utilizing synthetic images to enhance the automated recognition of small-sized construction tools
This repository contains documents and source code related to John W. Belanger Smutny's Viriginia Tech Master's of Engineering senior capstone project on "The Effect of Training Published Computer Vision Models on Unreal Engine Synthetic Images". An Introduction to the Synergy between Graphics Rendering Software and Machine Learning.