3D-Machine-Learning VS 2dimageto3dmodel

Compare 3D-Machine-Learning 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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3D-Machine-Learning 2dimageto3dmodel
5 1
9,441 266
- -
0.0 3.7
over 1 year ago 2 months ago
Python
- -
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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3D-Machine-Learning

Posts with mentions or reviews of 3D-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-14.

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 3D-Machine-Learning and 2dimageto3dmodel you can also consider the following projects:

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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

curated-list-of-awesome-3D-Morphable-Model-software-and-data - The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

neuroaid - :zap: :books: Papers and other material for getting started with Neuro-AI! :brain: :boom:

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

DAIN - Depth-Aware Video Frame Interpolation (CVPR 2019)

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

locha - Communicate with others and broadcast Bitcoin transactions off-grid without internet access or even power grid.

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

voxel-models - Free voxel models for Avoyd Voxel Editor: make voxel art, export to 3D mesh etc. All downloadable assets are licensed under CC BY 4.0.

polygonjs - node-based WebGL design tool