Monocular-Depth-Estimation-Toolbox
DECA
| Monocular-Depth-Estimation-Toolbox | DECA | |
|---|---|---|
| 1 | 5 | |
| 847 | 2,018 | |
| - | - | |
| 10.0 | 0.0 | |
| over 1 year ago | 10 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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Monocular-Depth-Estimation-Toolbox
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With the absence of ultrasonics, how will Tesla measure depth when stationary without stereoscopic vision
Pretty picture: https://github.com/zhyever/monocular-depth-estimation-toolbox
DECA
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Looking for a NLP expert to help me in a project about body movements and facial expressions.
[2] https://github.com/yfeng95/DECA
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[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.
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Automatic BlendShape Transfer to Different Topology!
But where else should he post seems like the post got deleted in many other places already. The pay link in the video description looks suspicious and was most likely not included in this video to prevent deletion. The Tool itself looks similar to thinks proposed in: https://github.com/YadiraF/DECA or something similar what Disney did.
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[P] Mapping an image to a 3D face model (iPhone AR compatible)
I retrained DECA using the original dataset and additional data that I generated and then combined this with a library I wrote to convert .obj files to .usdz, a format used on iPhone to describe 3D models that are compatible with its AR viewer.
- DECA: Detailed Expression Capture and Animation
What are some alternatives?
simplerecon - [ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
Blender-Tools-for-DSCS - This repository provides a work-in-progress addon for Blender 2.8 that can (to some degree) import model files from the PC version of Digimon Story: Cyber Sleuth. It provides new options in File > Import and File > Export named "DSCS Model", which should be pointed towards 'name' files in the game data. The file format is mostly understood; but some bugs remain and there are some Blender issues yet to be understood. Also has experimental support for the PS4 version, and for Megido72.
vrn - :man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
facexlib - FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
3DDFA - The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
carveme - CarveMe: genome-scale metabolic model reconstruction
deviceidentifier-py - Utils to manipulate and learn from assorted device identifier formats via Reincubate's API.
EmoPy - A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)