face-alignment
3DDFA
face-alignment | 3DDFA | |
---|---|---|
5 | 2 | |
6,811 | 3,526 | |
- | - | |
4.8 | 0.0 | |
7 months ago | almost 2 years ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | 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.
face-alignment
-
500 Realistic Vision portraits, eyes aligned, sorted by happiness
I used this to detect face landmarks: https://github.com/1adrianb/face-alignment
- Can anyone explain this code
-
How to deploy a ML model as an API using Google Compute engine, Docker and flask
FROM nvcr.io/nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04 RUN DEBIAN_FRONTEND=noninteractive apt-get -qq update \ && DEBIAN_FRONTEND=noninteractive apt-get -qqy install python3-pip ffmpeg git less nano libsm6 libxext6 libxrender-dev \ && rm -rf /var/lib/apt/lists/* COPY . /app/ WORKDIR /app RUN pip3 install --upgrade pip RUN pip3 install \ https://download.pytorch.org/whl/cu100/torch-1.0.0-cp36-cp36m-linux_x86_64.whl \ git+https://github.com/1adrianb/face-alignment \ -r requirements.txt ENTRYPOINT [ "python3" ] CMD [ "app.py" ]
-
AR & AI Technologies For Virtual Fitting Room Development
Such an annotation format allows the differentiation of face contour, nose, eyes, eyebrows, and lips with a sufficient accuracy level. The data for training the face landmark estimation model might be taken from such open-source libraries as Face Alignment, providing face pose estimation functionality out-of-the-box.
3DDFA
-
[D] Alternatives to Mediapipe's FaceMesh for 3D Face Reconstruction
You can check DECA, 3DDFA , as they give you detailed 3d landmarks (detailed as in "denser" 3d landmarks) which is obtained through Face Blendshape Vertices.
-
Concepts used in 3D face/head creation using images from consumer camera
I am aware of the work of 3ddfav2 (https://github.com/cleardusk/3DDFA) and tried the results, but the output is not as realistic as one demonstrated in above.
What are some alternatives?
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
DensePose - A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
blender-NaomiLib - Blender addon for importing NaomiLib files
deface - Video anonymization by face detection
DAD-3DHeads - Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
VTuber_Unity - Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!
ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
face-detection-algorithms-comparison - Face detection algorithms
DECA - DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
tiny - Tiny Face Detector, CVPR 2017
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.