The AI-Powered Online Fitting Room: VOGUE
Author(s): Louis (What’s AI) Bouchard Google used a modified StyleGAN2 architecture to create an online fitting room where you can automatically try-on any pants or shirts you… Continue reading on Towards AI » Published via Towards AI …
The Strengths & Weaknesses of Face2Vec (FaceNet)
Author(s): Jacky Wong Computer Vision Face2Vec is the modern way of identifying the same/similar faces. Face2Vec refers to the process of transforming faces to vectors, a process named vectorization that transforms objects/images/text into numerical representations (if you would like to learn more, …
Image De-noising Using Deep Learning
Last Updated on January 23, 2021 by Editorial Team Author(s): Chintan Dave Computer Vision, Deep Learning Photo by Patrick Tomasso on Unsplash Denoising an image is a classical problem that researchers are trying to solve for decades. In earlier times, researchers used filters to …
DALL·E: Generate Images from Text Captions! Inspired by GPT-3 and Image-GPT from OpenAI
Author(s): Louis (What’s AI) Bouchard OpenAI successfully trained a network able to generate images from text captions. It is very similar to GPT-3 and Image GPT and produces… Continue reading on Towards AI » Published via Towards AI …
Tesseract OCR for Text Localisation and Detection
Author(s): Sharon Lim Automating the extraction of useful information from PDF files Continue reading on Towards AI » Published via Towards AI …
ResNeXt: from scratch
Author(s): Tanmay Debnath Source: Unsplash Computer Vision, Research ResNeXt follows a simple concept of ‘divide and conquer’. ResNeXt is often referred to as the Extended version of the ‘ResNet’. Some of its important applications are in the field of Biomedical Engineering department and …
Object Detection using OpenCV
Author(s): neupane parlad Object detection is an important part of image processing. The autonomous vehicle has to detect lanes, road surfaces, other vehicles… Continue reading on Towards AI » Published via Towards AI …
Efficient Biomedical Segmentation When Only a Few Label Images Are Available
Author(s): Makoto TAKAMATSU A Proposal for State-of-the-Art Unsupervised Segmentation Using Contrastive Learning Continue reading on Towards AI » Published via Towards AI …
Making Hyper-personalized Books for Children: Faceswap on Illustrations
Author(s): Francesco Fumagalli Computer Vision Stories have always been part of human nature: we’ve been telling stories to children for as long as we’ve been around, to teach them about life, to warn them about dangers, to build up their character without …
AutoSIRDS — Using single image depth estimation to create Single Image Random Dot Stereograms
Author(s): Robin T. White, PhD A full playground using Google Colab and TF Hub Continue reading on Towards AI » Published via Towards AI …
Using Computer Vision and Topic Modeling to Increase Brand Engagement on Instagram: The Case of…
Author(s): Aadit Barua By Aadit Barua and Josh Barua Continue reading on Towards AI » Published via Towards AI …
GAN Training Breakthrough for Limited Data Applications & New NVIDIA Program! NVIDIA Research
Author(s): Louis (What’s AI) Bouchard With this new training method developed by NVIDIA, you can train a powerful generative model with one-tenth fewer images! Making possible… Continue reading on Towards AI » Published via Towards AI …
Making Video Conferencing more Accessible with Machine Learning
Author(s): Jay Gupta Computer Vision, Machine Learning Learn to build an Azure-powered pipeline for the visually impaired or with other disorders Photo by Josh Calabrese on Unsplash The COVID-19 pandemic has pushed organizations to the edge, with most employers resorting to Work-from-Home (WFH) arrangements. …