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
72 151
- -
4.9 5.0
3 months ago 3 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.
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.

MESH2IR

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

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.

What are some alternatives?

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

2dimageto3dmodel - We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

CTGAN - Conditional GAN for generating synthetic tabular data.

room-impulse-responses - A list of publicly available room impulse response datasets and scripts to download them.

SDGym - Benchmarking synthetic data generation methods.

Reticulum - The cryptography-based networking stack for building unstoppable networks with LoRa, Packet Radio, WiFi and everything in between.

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

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.

digan - Official PyTorch implementation of Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks (ICLR 2022).

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

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