learning-topology-synthetic-data VS DECA

Compare learning-topology-synthetic-data vs DECA and see what are their differences.

learning-topology-synthetic-data

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021) (by alexklwong)
Machine Learning Computer Vision Deep Learning Tensorflow depth depth-estimation depth-completion unsupervised-learning sensor-fusion 3d-vision 3d-reconstruction kitti Void self-supervised-learning Ral icra ucla
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DECA

DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021) (by yfeng95)
3D Face Reconstruction Alignment depth Model Flame
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learning-topology-synthetic-data DECA
5 5
37 2,005
- -
4.3 0.0
9 months ago 9 months ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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learning-topology-synthetic-data

Posts with mentions or reviews of learning-topology-synthetic-data. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-24.

DECA

Posts with mentions or reviews of DECA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-27.

What are some alternatives?

When comparing learning-topology-synthetic-data and DECA you can also consider the following projects:

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.

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.

bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

vrn - :man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

facexlib - FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

Make-It-3D - [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

3DDFA - The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

NeuralRecon - Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

carveme - CarveMe: genome-scale metabolic model reconstruction

learning-topology-synthetic-data vs d2l-en DECA vs Blender-Tools-for-DSCS learning-topology-synthetic-data vs bpycv DECA vs vrn learning-topology-synthetic-data vs student-teacher-anomaly-detection DECA vs 3DDFA_V2 learning-topology-synthetic-data vs unsupervised-depth-completion-visual-inertial-odometry DECA vs facexlib learning-topology-synthetic-data vs Make-It-3D DECA vs 3DDFA learning-topology-synthetic-data vs NeuralRecon DECA vs carveme