vrn
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression" (by AaronJackson)
jeelizFaceFilter
Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...). (by jeeliz)
vrn | jeelizFaceFilter | |
---|---|---|
4 | 2 | |
4,515 | 2,619 | |
- | 0.3% | |
0.0 | 5.2 | |
almost 2 years ago | 4 months ago | |
MATLAB | JavaScript | |
MIT License | Apache License 2.0 |
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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.
vrn
Posts with mentions or reviews of vrn.
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ALLS6B
The researchers have made their code available here Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric Regression https://github.com/AaronJackson/vrn
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How could a person's facial features be measured?
You can also try to generate a 3D image from a single image like here.
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Confusion with .obj files
The OBJ file is the result of this machine learning model. The idea is you give it a headshot and it spits out an OBJ file with your head as a 3D model. One of the obj files contains the following lines: mtllib kev.mtl and usemtl material_1 but the model never produced a file called kev.mtl afaik
- What ML tool would be able to accurately convert a single picture of a whale to a 3D mesh, with it being modeled in the same pose as the picture?
jeelizFaceFilter
Posts with mentions or reviews of jeelizFaceFilter.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-08.
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Adding AR Filters in a 100ms Video Call - Part 1
Ikr! That's what I was thinking when I came across Jeeliz. Now I have worked with tensorflow.js based libraries in the past but they're usually quite CPU intensive for a live video use case. Jeeliz looked promising as it's designed for this use case. So I thought why not try it out by adding some 3d AR filters to our video calls. Well! that is what we're going to do.
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Best Web-Based Face Tracking Library?
I created a demo face filter web app using jeeliz. It has great features however, I found that the tracking performance wasn't perfect. Media pipe seems to require building out custom features manually to achieve the face filter app I need. I'm wondering if building a more custom app with mediapipe would be worth the extra effort over Jeeliz.