Using modified BiSeNet for face parsing in PyTorch
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Updated
May 21, 2023 - Python
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.
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
[CVPRW 2022] Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
Parsing different parts of the face using semantic segmentation.
Face/Hair segmentation images dataset
Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)
Face segmentation with CNN and CRF
Hair Color Change Using Pytorch Model
Developing code on semantic segmentation for Extended Labeled Faces in the Wild
SuperGAN aims to develope subject agnostic real-time Face Swaping.
face & hair semantic image segmentation in keras
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
A face semantic segmentation Flask app deployed in a docker container on GCP Container Registry and a Kubernetes Engine cluster.
A Swift Package for facial segmentation using Vision
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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