Face segmentation with CNN and CRF
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Updated
Jul 30, 2018 - Python
Face segmentation with CNN and CRF
Face/Hair segmentation images dataset
face & hair semantic image segmentation in keras
Interlinked Convolutional Neural Network for Image Parsing
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)
A collection of deep learning frameworks ported to Keras for face analysis.
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.
Learning to use MediaPipe library and ReactJS, first time using both of them. This was made for an internship application.
A large-scale face dataset for face parsing, recognition, generation and editing.
SuperGAN aims to develope subject agnostic real-time Face Swaping.
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
Hair Color Change Using Pytorch Model
Using modified BiSeNet for face parsing in PyTorch
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