2dimageto3dmodel VS 3D-Machine-Learning

Compare 2dimageto3dmodel vs 3D-Machine-Learning 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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2dimageto3dmodel 3D-Machine-Learning
1 5
265 9,441
- -
3.7 0.0
about 2 months ago about 1 year ago
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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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.

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.

What are some alternatives?

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

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

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

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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.

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

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

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

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

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

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