6DRepNet
PyTorch-VAE
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| 6DRepNet | PyTorch-VAE | |
|---|---|---|
| 4 | 5 | |
| 499 | 5,989 | |
| - | - | |
| 3.7 | 0.0 | |
| about 1 month ago | 7 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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
PyTorch-VAE
- Help with VAE
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Confusions on VAE implementation
I am a beginner in VAE implementation and I am currently going through codes here.
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Confusion regarding Variational AutoEncoder Implementation
I am referring to the code in the link here for VAE code. I have the following questions and confusions:
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How to extract feature from 2 tensors into one? what layer should be used?
Here's a repo that has a large number of VAE variants for Pytorch: https://github.com/AntixK/PyTorch-VAE
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VAEs
Face embedding with VAEs https://github.com/AntixK/PyTorch-VAE
What are some alternatives?
pytorch-geodesic-loss - A PyTorch criterion for computing the distance between rotation matrices.
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
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.
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning
qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices
DeepPoseKit - a toolkit for pose estimation using deep learning
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
PoseNDF - Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
torch-metrics - Metrics for model evaluation in pytorch
RSCalibration - Docs and scripts to estimate a camera's rolling shutter readout time
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)