Monocular-MiniSLAM VS Insta-DM

Compare Monocular-MiniSLAM vs Insta-DM and see what are their differences.

Insta-DM

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021) (by SeokjuLee)
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Monocular-MiniSLAM Insta-DM
1 1
30 221
- -
4.3 0.0
over 3 years ago 10 months ago
Python Python
- 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.

Monocular-MiniSLAM

Posts with mentions or reviews of Monocular-MiniSLAM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-26.

Insta-DM

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

What are some alternatives?

When comparing Monocular-MiniSLAM and Insta-DM you can also consider the following projects:

simple-slam

OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration

MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"