MESH2IR VS 2dimageto3dmodel

Compare MESH2IR vs 2dimageto3dmodel 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)

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. (by NikolaZubic)
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MESH2IR 2dimageto3dmodel
1 1
71 269
- -
4.9 3.7
about 2 months ago 7 months ago
Python Python
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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.

2dimageto3dmodel

Posts with mentions or reviews of 2dimageto3dmodel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.
  • What's the best software for making an interactable 3D app?
    2 projects | /r/Unity3D | 6 Feb 2023
    As for the app, I feel like I have a really good and unique idea so I don't want to explain it very thoroughly, but essentially I want it to be available on my website and on the app store. Ideally, I want it to scale up and become something big, I feel the scalability for the idea is pretty good so I would hope it doesn't stay a small project. Another specificity that I feel is important is that I want to take a series of 2D images and turn it into a 3D model that can then be manipulated and deformed. There are libraries on GitHub for predictively turning a 2D image into a 3D render like here. I have a hunch this would be incredibly difficult and time-consuming to turn into an app, but I wonder if something like this could even be implemented in unity. I haven't used much GitHub really at all though, and I'm not even sure whether or not I could use someone's code like this on an app and then profit off of it legally, I'm just trying to understand all of this.

What are some alternatives?

When comparing MESH2IR and 2dimageto3dmodel you can also consider the following projects:

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

surface_normal_uncertainty - [ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

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

3D-Machine-Learning - A resource repository for 3D machine learning

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.

Pix2Vox - The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)

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

APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

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.

neural-deferred-shading - Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

polygonjs - node-based WebGL design tool

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