DAD-3DHeads
6DRepNet
| DAD-3DHeads | 6DRepNet | |
|---|---|---|
| 1 | 4 | |
| 415 | 501 | |
| 1.4% | - | |
| 0.8 | 3.7 | |
| about 1 year ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DAD-3DHeads
6DRepNet
-
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
-
Head Pose Estimation
I found this was the easiest one to get installed and up and running: https://github.com/thohemp/6DRepNet
-
[R] 6D Rotation Representation For Unconstrained Head Pose
Code for https://arxiv.org/abs/2202.12555 found: https://github.com/thohemp/6DRepNet
What are some alternatives?
transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
pytorch-geodesic-loss - A PyTorch criterion for computing the distance between rotation matrices.
3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
MICA - MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
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.
MonoScene - [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning
3DDFA - The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
DeepPoseKit - a toolkit for pose estimation using deep learning
void-dataset - Visual Odometry with Inertial and Depth (VOID) dataset
PoseNDF - Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields