A curated list of resources dedicated to scene text localization and recognition

image registration related books, papers, videos, and toolboxes

Explored CNNs with TensorFlow to create models for cropped single-digit and original multi-digit images from SVHN dataset.

python package to access the data of the NSD (natural scenes dataset) fMRI project

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

A list of papers and datasets about natural/color image segmentation (processing)

Source code for the paper "Affinity Fusion Graph-based Framework for Natural Image Segmentation".

Source code for the paper "An Adaptive Affinity Graph with Subspace Pursuit for Natural Image Segmentation".

Playing around with generative models trained on natural images, along with (eventually) some visualization tools.

Website for "Model-based stimulus synthesis of natural-like random textures for the study of motion perception"

Material and ms for the paper caracterizing sparseness of coefficients in natural images

Explore deep learning-powered image classification with PyTorch. Achieved 98% accuracy on Natural Images and 95% on Birds Species using AlexNet and EfficientNet-B1. Dive into the code and results!

Edge co-occurrences can account for rapid categorization of natural versus animal images

In this repository, we deal with the task of calculating the principal components of natural images and video frame compression bitrate analysis.

A framework to build a sparse representation of edges in images.