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
Face/Hair segmentation images dataset
Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)
Face segmentation with CNN and CRF
Parsing different parts of the face using semantic segmentation.
SuperGAN aims to develope subject agnostic real-time Face Swaping.
Developing code on semantic segmentation for Extended Labeled Faces in the Wild
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
face & hair semantic image segmentation in keras
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
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
PyTorch code for binary segmentation on CelebAMask-HQ dataset via both a UNet written from scratch and a pretrained DeepLabv3 model.
A face segmentation implementation of FarRL model (CVPR 2022) using Facer, a face analysis toolkit for modern research.
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