Using modified BiSeNet for face parsing in PyTorch
-
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.
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
Face segmentation with CNN and CRF
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
Developing code on semantic segmentation for Extended Labeled Faces in the Wild
Hair Color Change Using Pytorch Model
👤🔍 | BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
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 face segmentation implementation of FarRL model (CVPR 2022) using Facer, a face analysis toolkit for modern research.
Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'
OneStopVision is an open-source toolkit offering a comprehensive suite of algorithms for face and body analysis, landmark extraction, and ControlNet integration in Stable Diffusion.
A deeplearning based deepfake detection project for human face images and videos
Trained Torch version of the DeepLab on the CelebHQ.
Interlinked Convolutional Neural Network for Image Parsing
Add a description, image, and links to the face-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the face-segmentation topic, visit your repo's landing page and select "manage topics."