FAST-RIR VS MESH2IR

Compare FAST-RIR vs MESH2IR and see what are their differences.

FAST-RIR

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment. (by anton-jeran)

MESH2IR

This is the official implementation of our mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh. (by anton-jeran)
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FAST-RIR MESH2IR
1 1
137 68
- -
5.0 5.2
7 months ago 19 days ago
Python Python
GNU Affero General Public License v3.0 -
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.

FAST-RIR

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

MESH2IR

Posts with mentions or reviews of MESH2IR. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FAST-RIR and MESH2IR you can also consider the following projects:

CTGAN - Conditional GAN for generating synthetic tabular data.

DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

SDGym - Benchmarking synthetic data generation methods.

pyroomacoustics - Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.