Topic: synthetic-images Goto Github
Some thing interesting about synthetic-images
Some thing interesting about synthetic-images
synthetic-images,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.
User: alexandrosstergiou
synthetic-images,This repository will provide tools and news about The OmniScape Dataset
User: arsekkat
Home Page: https://git.io/omniscape
synthetic-images,TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
User: barisgecer
Home Page: https://arxiv.org/abs/1804.03675
synthetic-images,TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
User: carpedm20
synthetic-images,A unified framework for example-based texture synthesis, developed alongside my master's thesis.
User: crud89
synthetic-images,ENRICH: multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry
User: davidemarelli
Home Page: https://doi.org/10.1016/j.isprsjprs.2023.03.002
synthetic-images,A tool to create a synthetic data set, with annotations in the Pascal VOC Format, for use in object classification and detection/tracking.
User: driemworks
synthetic-images,A semi-synthetic dataset generation tool, specifically crafted for CNN training in drone racing.
User: dubiouscactus
synthetic-images,Binary classification algorithm and synthetic images generator based on network theory
User: guidogiacomomussini
synthetic-images,Minimal example of domain translation using CycleGAN, applied to OCR image data.
User: hasibzunair
synthetic-images,WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
User: iteal
Home Page: https://iteal.github.io/wormpose/
synthetic-images,Π‘hess game image generation using unity3d
Organization: k806house
synthetic-images,Python version of the FluxCompensator described in Koepferl & Robitaille (ApJ, 2017)
User: koepferl
Home Page: http://FluxCompensator.readthedocs.io
synthetic-images,Tool for generating synthetic images for natural language text descriptions in English.
User: lchaloupsky
synthetic-images,Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
Organization: microsoft
Home Page: https://microsoft.github.io/genalog/
synthetic-images,Create Synthetic-Images in TensorFlow using Generative Adversarial Network and Deepfakes using Keras.
Organization: ml-repos
synthetic-images,Black-box Few-shot Knowledge Distillation
User: nphdang
synthetic-images,Generated mold
User: nununo
Home Page: https://works.nunogodinho.com/hyphae/
synthetic-images,These functions will randomly distort image data to amplify total amount of images for use in machine learning algorithms.
User: outlace
synthetic-images,Repository for Transfer Learning using Deep CNNs trained with synthetic images
User: paramrajpura
synthetic-images,A curated list of awesome projects which use Machine Learning to generate synthetic content.
User: paulbricman
synthetic-images,BEDLAM (CVPR 2023) render pipeline tools
Organization: perceivingsystems
Home Page: https://bedlam.is.tuebingen.mpg.de/
synthetic-images,Generate synthetic image using DCGAN on fashion mnist data
User: prabormukherjee
synthetic-images,Generate synthetic image using DCGAN on mnist data
User: prabormukherjee
synthetic-images,Implementation of synthetic refocusing imaging and image-based relighting.
User: qiong-hu
synthetic-images,Generate realistic synthetic images using unsupervised learning techniques of Generative Adversarial Networks (GANs)
User: qizheng3
synthetic-images,
User: royba84
synthetic-images,Omnidirectional Synthetic image generator for Computer Vision
User: sbrunoberenguel
synthetic-images,Utilizing synthetic images to enhance the automated recognition of small-sized construction tools
User: senseablespace
synthetic-images,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:
User: tjmetivier
Home Page: https://tjmetivier.github.io/illustrisvirtualobservatory/
synthetic-images,Optical Flow Dataset and Benchmark for Visual Crowd Analysis
User: tsenst
synthetic-images,A list of synthetic dataset and tools for computer vision
Organization: unrealcv
synthetic-images,Generative Model with Coordinate Metric Learning
User: wangyida
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