Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
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Updated
Dec 28, 2023 - Python
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
PrimeFaces Extensions
[TOG 2022] SofGAN: A Portrait Image Generator with Dynamic Styling
Official repository of FaceLit: Neural 3D Relightable Faces (CVPR 2023)
👯♀️ We are more alike than different - morphing one face to another
Predict Age and Gender of people from images | Determination of gender and age
A microservices application that shows a grid of cells, each of which should show a grinning face on a light blue background. All about showing how microservices applications work, how they fail, and how you can work with them.
🙉👮🙎🤠 Face Piles (A group of overlapping round avatars) for React Native
An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
Face Recognition with MTCNN
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
Project Page of Synthesizing Normalized Faces From Facial Identity Features - [CVPR 2017]
Implementation of facial landmarks detection using pytorch on iBUG 300W dataset. Why Xception Net? Because it provides satisfactory accuracy, with least computational requirement and memory utilization, I mean can you believe that my model, which looks kinda massive, is only of 10MB!
VariTex: Variational Neural Face Textures, ICCV 2021.
This project uses the Labeled Faces in the Wild (LFW) dataset, and the goal is to train variants of deep architectures to learn when a pair of images of faces is the same person or not. It is a pytorch implementation of Siamese network with 19 layers.
Add a description, image, and links to the faces topic page so that developers can more easily learn about it.
To associate your repository with the faces topic, visit your repo's landing page and select "manage topics."