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 | |
| 66 | 265 | |
| - | - | |
| 5.7 | 3.7 | |
| 4 months ago | about 2 months ago | |
| Python | Python | |
| - | - |
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.
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.
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[P] MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes (Accepted to ACM Multimedia 2022)
Code: https://github.com/anton-jeran/MESH2IR
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.
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What's the best software for making an interactable 3D app?
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:
surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
Pix2Vox - The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)
3D-Machine-Learning - A resource repository for 3D machine learning
APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
neural-deferred-shading - Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)
polygonjs - node-based WebGL design tool