Using modified BiSeNet for face parsing in PyTorch

A large-scale face dataset for face parsing, recognition, generation and editing.

A collection of deep learning frameworks ported to Keras for face analysis.

[CVPRW 2022] Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

Face/Hair segmentation images dataset

Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)

👤🔍 | BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation | In PyTorch >> ONNX

Face segmentation with CNN and CRF

Parsing different parts of the face using semantic segmentation.

Hair Color Change Using Pytorch Model

Crop out (and optionally remove background and correct roll of) faces in an image. Implements a custom pipeline using Mediapipe's FaceDetection and FaceMesh networks

SuperGAN aims to develope subject agnostic real-time Face Swaping.

Developing code on semantic segmentation for Extended Labeled Faces in the Wild

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.

A face segmentation implementation of FarRL model (CVPR 2022) using Facer, a face analysis toolkit for modern research.

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 face semantic segmentation Flask app deployed in a docker container on GCP Container Registry and a Kubernetes Engine cluster.