STEPS
manydepth
| STEPS | manydepth | |
|---|---|---|
| 1 | 2 | |
| 170 | 596 | |
| - | 1.0% | |
| 10.0 | 0.0 | |
| over 1 year ago | 9 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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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
manydepth
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How Many Sensors for Autonomous Driving?
Yup! This kind of reconstruction is known as multi-view reconstruction. Though the cameras don't need to have a movable mount, they're already on a car which moves! The car moves and gives them a new "perspective" at every frame. That's how some monocular systems already work. Here's an example of one such system: https://github.com/nianticlabs/manydepth
That said, I think what you're referring to is more extreme perspectives that shift in ways the car cannot drive and you are correct that this would aid in reconstruction. This is how NERF models do their 3D reconstruction (https://nerfies.github.io/).
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The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth – method outperforms all self-supervised methods on KITTI and Cityscapes
Looks like it's available now.
What are some alternatives?
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
deep-video-mvs - Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)
involution - [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
simplerecon - [ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
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)
second.pytorch - SECOND for KITTI/NuScenes object detection