GPU & Compute

kinfu_remake

Lightweight and optimized version of Kinfu for real-time dense SLAM.

Status
UnmaintainedNo commits in 2736 days.
Last checked
Checked · Oct 11, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Kinfu_remake is a reworked, lightweight version of the original Kinfu library, designed to provide efficient real-time dense Simultaneous Localization and Mapping (SLAM). It's ideal for applications requiring precise mapping in dynamic environments.

Kinfu_remake stands out as a lightweight, optimized version of Kinfu, offering efficient real-time dense SLAM without sacrificing precision.

When it fits — and when it doesn’t

A good fit for

  • Developers working on real-time dense SLAM applications who need a lightweight solution

  • Researchers requiring efficient and precise mapping algorithms for indoor environments

Look elsewhere if

  • Projects that require extremely low latency beyond the capabilities of current hardware

  • Applications needing support for multiple programming languages or extensive framework integrations

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support, primarily C++

    The tool is written in C++, which may restrict its accessibility to developers who are not proficient in this language.

  2. 02

    Complex setup and configuration

    Setting up the environment for Kinfu_remake requires a deep understanding of SLAM algorithms and specific hardware configurations, which can be challenging.

  3. 03

    Performance degradation in highly dynamic environments

    While optimized for real-time dense SLAM, performance may drop significantly when mapping areas with rapid changes or high levels of movement.

  4. 04

    Small community and limited third-party support

    Being a niche tool focused on dense SLAM, the user base is relatively small, leading to fewer contributions and slower resolution of issues.

What it does well

  • Real-time dense SLAM capabilities

  • Optimized for performance and efficiency

  • Lightweight implementation of Kinfu

  • BSD-3-Clause license, allowing broad usage

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up kinfu_remake

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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kinfu_remake — tracked on AI Navigator

Markdown

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HTML

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