findpeaks VS 2dimageto3dmodel

Compare findpeaks vs 2dimageto3dmodel and see what are their differences.

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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findpeaks 2dimageto3dmodel
1 1
202 266
- -
7.9 3.7
12 days ago about 2 months ago
Python Python
GNU General Public License v3.0 or later -
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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findpeaks

Posts with mentions or reviews of findpeaks. 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 findpeaks and 2dimageto3dmodel you can also consider the following projects:

giotto-tda - A high-performance topological machine learning toolbox in Python

surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

mhk_mods - Outdated, please see https://github.com/SKevo18/mh_mods for new version

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

TARDIS - TARDIS: Topological Algorithms for Robust DIscovery of Singularities

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

Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal - A deep learning approach for stripe noise removal

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

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox

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