6DRepNet
face-parsing.PyTorch
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| 6DRepNet | face-parsing.PyTorch | |
|---|---|---|
| 4 | 4 | |
| 499 | 2,092 | |
| - | - | |
| 3.7 | 0.0 | |
| about 1 month ago | 11 months ago | |
| Python | Python | |
| MIT License | MIT License |
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6DRepNet
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How to do Human Head Segmentation from images?
Well so it sounds like you want to do something like DeepFaceLab? I don't have a lot of experience with that but I believe they collect facial images based on their angles (pitch, roll and yaw) and match and merge them together. So something like this might help you there: https://github.com/thohemp/6DRepNet
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Head Pose Estimation
I found this was the easiest one to get installed and up and running: https://github.com/thohemp/6DRepNet
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[R] 6D Rotation Representation For Unconstrained Head Pose
Code for https://arxiv.org/abs/2202.12555 found: https://github.com/thohemp/6DRepNet
face-parsing.PyTorch
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How to do Human Head Segmentation from images?
Segmentation of head / body - I'd either use mediapipe pose and make something cleverly cut where I wanted based on the landmarks, or I'd use pytorch face parsing if you want to be very exact. I found both of these fairly easy to get to run.
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[P] I made FaceShop! Instance segmentation + CGAN for editing faces (badly)
BiSeNet
Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!
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[P] Face make up powerd by deep learning | change color of lips, eyes and eyeglasses
I've developed a demo of human face make-up. The main tech used is face parsing.To get lips, eyes and eyeglasses mask, I perform face parsing based on face-parsing.PyTorch. After that, color changing is done in HSV color space.
What are some alternatives?
pytorch-geodesic-loss - A PyTorch criterion for computing the distance between rotation matrices.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
DeepPoseKit - a toolkit for pose estimation using deep learning
SemanticSegmentation - A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
PoseNDF - Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python