Tag: 3D Deep Learning
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Convert a photo from 2D to 3D model with color with PIFu
This is a short tutorial on how you can convert and train Pifu to convert a 2D photo to a 3D Model with color. Pifu is the predecessor to PIFuHD. PIFU in theory can be trained to create 3D Models for any type of object, not just humans, but of course, you will need to […]
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From a 2D Photo to a 3D Model with Nvidia Ganverse3D with Nvidia Omniverse Create
Remember that a few months ago I talked about a new ground-breaking application, yet to be released, from Nvidia Research Labs, called GanVerse3D, capable of rendering 3D models with texture from 2D photos? Not only that, GanVerse3D was also supposed to be capable of animating the 3D model at a click of a button. Yes, […]
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How to turn 2D photos into a 3D model using Nvidia Kaolin and PyTorch – A 3D Deep Learning Tutorial
If you have read my last article on GANverse3D, then you will probably have heard about the DIB-R paper, which I mentioned a few times. This was a key paper for 3D Deep Learning from 2019. The DIB-R paper introduced an improved differential renderer as a tool to solve one of the most fashionable problems […]
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Nvidia GANverse3D – 2D Photo to a 3D Model with texture at a click of a button!
Nvidia has announced a new groundbreaking application called GanVerse3D, with an unspecified release date for now, which can render 3D models from a single 2D photo, like the KightRider car, ready for use in Nvidia Omniverse. But that is not all. The 3D model includes texture and it can be animated in seconds at a […]
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How to create a 3D model of a photo using Python, NumPy and Google Colab — Part I
I recently recorded a four-part video series for my Youtube channel on how I attempted to create a 3D model out of a photo, using Python, Numpy, and Google Colab. For this programming, I relied on the Numpy STL library which can create 3D models using “simple” Numpy arrays. Why I did it I am […]
