simplerecon
STEPS
| simplerecon | STEPS | |
|---|---|---|
| 4 | 1 | |
| 1,205 | 165 | |
| 1.2% | - | |
| 3.3 | 10.0 | |
| 11 months ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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simplerecon
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Real time 3D reconstruction with SimpleRecon
An app would soon be there I think for iPad as well. Right now they have made the code public here: https://github.com/nianticlabs/simplerecon
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SimpleRecon: A Computer Vision Framework that Produces 3D Reconstructions Without the Use of 3D Convolutions
Continue reading | Check out the paper and github link
- SIMPLERECON — 3D Reconstruction without 3D Convolutions — 73ms per frame !
STEPS
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Meet STEPS: A New Computer Vision Method That Jointly Learns A Nighttime Image Enhancer And A Depth Estimator Without Using Ground Truth
Quick Read: https://www.marktechpost.com/2023/02/07/meet-steps-a-new-computer-vision-method-that-jointly-learns-a-nighttime-image-enhancer-and-a-depth-estimator-without-using-ground-truth/ Paper: https://arxiv.org/pdf/2302.01334v1.pdf Github: https://github.com/ucaszyp/STEPS
What are some alternatives?
dream-creator - Quickly and easily create / train a custom DeepDream model
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
IGEV - [CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
manydepth - [CVPR 2021] Self-supervised depth estimation from short sequences
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Monocular-Depth-Estimation-Toolbox - Monocular Depth Estimation Toolbox based on MMSegmentation.
deep-video-mvs - Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)
FusionConverter - Design files for the open-hardware NeoGeo MVS to AES converter
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)