Pix2Vox
PIFu
Pix2Vox | PIFu | |
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1 | 3 | |
439 | 1,734 | |
- | - | |
3.5 | 0.0 | |
3 months ago | 5 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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Pix2Vox
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[need help] I am trying to do 3d object reconstruction using rgbd images from kinnect device.
I am trying to achieve what this paper is doing https://github.com/hzxie/Pix2Vox but this paper is using only RGB images. I want to introduce depth in it as well. So for example, I will place a cup on table and get its different snapshots from different orientations using the Kinnect 2 device. These images will be passed through some pipeline of algorithms (can be ml or dl) to get Voxels (cup or object as a volume).
PIFu
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I scanned myself with Reality Capture but the 3D model is messy. Is there any way to clean it up with AI or something like that?
In terms of AI tools, you could try this: https://github.com/shunsukesaito/PIFu
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Any helpful links for rendering a 3D object from a picture of a person?
I realize this isn't the same as photogrammetry but the one (https://github.com/shunsukesaito/PIFu) I've been able to implement renders inaccurate/rough 3D objects as results.
- Does anyone know what plugin this is called that turns images into 3D is called?
What are some alternatives?
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unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
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.