This new algorithm transforms a blurry image into a high-resolution image! It can take a super low-resolution 16x16 image…
This AI makes blurry faces look 60 times sharper
#2020 vision youtube channel 1080p#
It can take a super low-resolution 16x16 image and turn it into a 1080p high definition human face! You don’t believe me? Then you can do just like me and try it on yourself in less than a minute! But first, let’s see how they did that. This new algorithm transforms a blurry image into a high-resolution image! PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models I recently made a post explaining the basics of the initial You Only Look Once, also known as the YOLO algorithm. The YOLOv4 algorithm | Introduction to You Only Look Once, Version 4 | Real-Time Object Detection The main goal of this algorithm was to make a super-fast object detector with high quality in terms of accuracy. in the paper “YOLOv4: Optimal Speed and Accuracy of Object Detection”. This 4th version has been recently introduced in April 2020 by Alexey Bochkovsky et al. YOLOv4: Optimal Speed and Accuracy of Object Detection This new method is able to generate a complete 3-dimensional scene and has the ability to decide the lighting of the… Generate a Complete 3D Scene Under Arbitrary Lighting Conditions from a Set of Input Images All this with very limited computation costs and amazing results compared to previous approaches. This new method is able to generate a complete 3-dimensional scene and has the ability to decide the lighting of the scene.
NeRV: Neural Reflectance and Visibility Fields Imitating the nematode’s nervous system to process information efficiently, this new intelligent system is more robust… Their network was able to completely control a car using only 75 000 parameters, composed of 19 control neurons, rather than millions!Ī New Brain-inspired Intelligent System Drives a Car Using Only 19 Control Neurons! They achieved that with only a few neurons able to control the self-driving car, compared to the millions of neurons needed by the popular deep neural networks such as Inceptions, Resnets, or VGG. Researchers from IST Austria and MIT have successfully trained a self-driving car using a new artificial intelligence system based on the brains of tiny animals, such as threadworms. Neural circuit policies enabling auditable autonomy Have you ever wondered how the ocean would look like without water? Researchers recently achieved that by using… This AI removes the water from underwater images! Have you ever wondered how the ocean would look like without water Remove this blue-green tint of the underwater pictures, and still have the true colors of a coral reef? Well, using computer vision and machine learning algorithms, researchers from the University of Haifa were able to accomplish exactly that! Sea-thru: A Method For Removing Water From Underwater Images Watch a complete computer vision 2020 rewind in 5 minutes Tag me on Twitter or LinkedIn (Louis (What’s AI) Bouchard) if you share the article! The complete reference to each paper is listed at the end of this article.Īccess the complete list in a GitHub repository Enjoy the read, and let me know if I missed any important papers in the comments, or by contacting me directly on LinkedIn! In short, it is basically a curated list of the latest breakthroughs in AI and CV with a clear video explanation, link to a more in-depth article, and code (if applicable). Here are my top 10 of the most interesting research papers of the year in computer vision, in case you missed any of them. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future, which I will definitely cover. More, many important aspects were highlighted this year, like the ethical aspects, important biases, and much more. Especially in the field of artificial intelligence and more precisely computer vision. By Louis (What's AI) Bouchard, Montrealer, explaining AI stuff on YouTube and MediumĮven with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out.
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