Face Segmentation using MobileNetV2 U-Net and Streamlit
Interlinked Convolutional Neural Network for Image Parsing
Deep learning face segmentation using a custom U-Net-inspired CNN implemented with PyTorch.
Trained Torch version of the DeepLab on the CelebHQ.
Learning to use MediaPipe library and ReactJS, first time using both of them. This was made for an internship application.
A deeplearning based deepfake detection project for human face images and videos
Deep learning–based face portrait segmentation in Python: separates facial regions from portrait images for research and image-processing workflows.
OneStopVision is an open-source toolkit offering a comprehensive suite of algorithms for face and body analysis, landmark extraction, and ControlNet integration in Stable Diffusion.
End-to-end face segmentation pipeline using U-Net, optimized with INT8 quantization and deployed on Raspberry Pi for real-time inference.
An implementation of AR web based segmentation of a face mask on real time video input stream with drawings on landmarks.
Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'
A face semantic segmentation Flask app deployed in a docker container on GCP Container Registry and a Kubernetes Engine cluster.
face & hair semantic image segmentation in keras
PyTorch code for binary segmentation on CelebAMask-HQ dataset via both a UNet written from scratch and a pretrained DeepLabv3 model.
A Swift Package for facial segmentation using Vision
A face segmentation implementation of FarRL model (CVPR 2022) using Facer, a face analysis toolkit for modern research.
The MFSD (Masked Face Segmentation Dataset) is a comprehensive dataset designed to advance research in masked face related tasks such as segmentation. This dataset is especially relevant in the context of the COVID-19 pandemic, where mask-wearing has become widespread.
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