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)

Face segmentation with CNN and CRF

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

Parsing different parts of the face using semantic segmentation.

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

Hair Color Change Using Pytorch Model

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.