MESH2IR VS FAST-RIR

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

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)

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)
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MESH2IR FAST-RIR
1 1
65 135
- -
5.7 5.0
3 months ago 5 months 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.
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MESH2IR

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

We haven't tracked posts mentioning MESH2IR yet.
Tracking mentions began in Dec 2020.

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.

We haven't tracked posts mentioning FAST-RIR yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing MESH2IR and FAST-RIR 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.