STEPS VS simplerecon

Compare STEPS vs simplerecon and see what are their differences.

STEPS

This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation" (by ucaszyp)
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STEPS simplerecon
1 4
170 1,209
- 1.6%
10.0 3.3
about 1 year ago 12 months ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

STEPS

Posts with mentions or reviews of STEPS. We have used some of these posts to build our list of alternatives and similar projects.

simplerecon

Posts with mentions or reviews of simplerecon. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing STEPS and simplerecon you can also consider the following projects:

calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

dream-creator - Quickly and easily create / train a custom DeepDream model

manydepth - [CVPR 2021] Self-supervised depth estimation from short sequences

IGEV - [CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo

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)

Monocular-Depth-Estimation-Toolbox - Monocular Depth Estimation Toolbox based on MMSegmentation.

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)

FusionConverter - Design files for the open-hardware NeoGeo MVS to AES converter