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The AI Monthly Top 3 — April 2021

a curated list of the latest breakthroughs in AI and Data Science in April 2021 with a clear video explanation, link to a more in-depth article.

Updated May 06, 2021
The AI Monthly Top 3 — April 2021
Contents

Here are the 3 most interesting research papers of the month, in case you missed any of them. It is a curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read, and let me know if I missed any important papers in the comments, or by contacting me directly on LinkedIn!


Paper #1:

Create 3D Models from Images! GANverse3D & NVIDIA Omniverse [1]

This promising model called GANverse3D only needs an image to create a 3D figure that can be customized and animated!

Watch the video

A short read version

[

Create 3D Models from Images! GANverse3D & NVIDIA Omniverse

This promising model called GANverse3D only needs an image to create a 3D figure that can be customized and animated!

Video thumbnail for The AI Monthly Top 3 April 2021

](/ganverse3d/)

Visual example from The AI Monthly Top 3 April 2021


Paper #2:

What is the state of AI in computer vision? [2]

I will openly share everything about deep nets for vision applications, their successes, and the limitations we have to address.

Watch the video

A short read version

[

What is the state of AI in computer vision?

I will openly share everything about deep nets for vision applications, their successes, and the limitations we have to address.

Video thumbnail for The AI Monthly Top 3 April 2021

](/ai-in-computer-vision/)


Paper #3:

Infinite Nature: Fly into an image and explore the landscape [3]

The next step for view synthesis: Perpetual View Generation, where the goal is to take an image to fly into it and explore the landscape!

Watch the video

A short read version

[

Infinite Nature: Fly into an image and explore the landscape

The next step for view synthesis: Perpetual View Generation, where the goal is to take an image to fly into it and explore the landscape!

Visual example from The AI Monthly Top 3 April 2021

](/infinite-nature/)

Code: https://github.com/microsoft/Swin-Transformer
Colab demo you can try right now!


Bonus paper:

An Amputee with an AI-Powered Hand! 🦾[Bonus]

With this AI-powered nerve interface, the amputee can control a neuroprosthetic hand with life-like dexterity and intuitiveness.

Watch the video

A short read version

[

An Amputee with an AI-Powered Hand! 🦾

With this AI-powered nerve interface, the amputee can control a neuroprosthetic hand with life-like dexterity and intuitiveness.

Visual example from The AI Monthly Top 3 April 2021

](/an-amputee-with-an-ai-powered-hand/)


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References

[1] Zhang et al., (2020), “IMAGE GANS MEET DIFFERENTIABLE RENDERING FOR INVERSE GRAPHICS AND INTERPRETABLE 3D NEURAL RENDERING”: https://arxiv.org/pdf/2010.09125.pdf

[2] Yuille, A.L., and Liu, C., 2021. Deep nets: What have they ever done for vision?. International Journal of Computer Vision, 129(3), pp.781–802, https://arxiv.org/abs/1805.04025.

[3] Liu, A., Tucker, R., Jampani, V., Makadia, A., Snavely, N. and Kanazawa, A., 2020. Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image, https://arxiv.org/pdf/2012.09855.pdf

[Bonus] Nguyen & Drealan et al. (2021) A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control: https://arxiv.org/abs/2103.13452​

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FAQ

What is included in the April 2021 AI roundup?

It selects three notable research releases with concise explanations, deeper articles, code when available, and original references.

What does GANverse3D contribute?

It turns one image from a supported category into a 3D asset that can be customized and animated.

Why was computer-vision progress reviewed that month?

The selected material examined where vision systems were improving and which limitations still shaped real applications.

What does Infinite Nature generate from one image?

It generates a long sequence of new landscape views so a virtual camera can appear to fly into the source picture.

How should readers use the roundup?

Start with the summaries, then inspect the linked paper and implementation before applying an idea.