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!

](/ganverse3d/)

Paper #2:
What is the state of AI in computer vision? [2]
Watch the video
A short read version
[
What is the state of AI in computer vision?

](/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!

](/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.

](/an-amputee-with-an-ai-powered-hand/)
Come chat with us in our Discord community: Learn AI Together and share your projects, papers, best courses, find Kaggle teammates, and much more!
If you like my work and want to stay up-to-date with AI, you should definitely follow me on my other social media accounts (LinkedIn, Twitter) and subscribe to my weekly AI newsletter!
To support me:
- The best way to support me is by being a member of this website or subscribe to my channel on YouTube if you like the video format.
- Support my work financially on Patreon
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.
[Bonus] Nguyen & Drealan et al. (2021) A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control: https://arxiv.org/abs/2103.13452
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.

