face-segmentation

Using modified BiSeNet for face parsing in PyTorch

A large-scale face dataset for face parsing, recognition, generation and editing.

UniFace: A Unified Face Analysis Library for Python | Detection, alignment, landmarks, face-mesh, recognition, parsing, gaze, attributes and anti-spoofing under one API.

Real-time face parsing and facial semantic segmentation with BiSeNet - PyTorch training, ONNX export, pretrained weights.

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)

Reliable face detection, segmentation and enhancement for ComfyUI with custom-trained models that work across anime, realism, extreme poses and occlusion.

Face/Hair segmentation images dataset

Face segmentation with CNN and CRF

Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)

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

[IEEE T-BIOM] FaceXBench: Evaluating Multimodal LLMs on Face Understanding

Developing code on semantic segmentation for Extended Labeled Faces in the Wild

SuperGAN aims to develope subject agnostic real-time Face Swaping.

ComfyUI custom nodes for model-aware single- and multi-face repair using crop-based img2img, semantic masks, color matching, and seamless blending for realistic, anime, and illustrated images.

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.