Have you ever wanted to change the background of a picture but have it look realistic? If you’ve already tried that, you already know that it isn’t simple. You can’t just take a picture of yourself in your home and change the background for a beach. It just looks bad and not realistic. Anyone will just say “that’s photoshopped” in a second. For movies and professional videos, you need the perfect lighting and artists to reproduce a high-quality image, and that’s super expensive. There’s no way you can do that with your own pictures. …
This week’s paper is about a new task called “Perpetual View Generation,” where the goal is to take an image to fly into it and explore the landscape. This is the first solution for this problem, but it is extremely impressive considering we only feed one image into the network, and it can generate what it would look like to fly into it like a bird. Of course, this task is extremely complex and will improve over time. …
Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence. More, many important aspects were highlighted this year, like the ethical aspects, important biases, and much more. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future.
While they seem like they’ve always been there, the very first realistic deepfake didn’t appear until 2017. It went from the first-ever resembling fake images automatically generated to today’s identical copy of someone on videos, with sound.
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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!
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Apply any style to your 4K image in real-time using this new machine learning-based approach!
You’ve all seen these kinds of pictures where a person’s face is “toonified” into an anime character.
What you see here is the gameplay of a very popular video game called GTA 5. It looks super realistic, but it is still obvious that this is a video game.
Now, look at this..
How hard is it for a machine to understand an image? Researchers have made a lot of progress in image classification, image detection, and image segmentation. These three tasks iteratively deepen our understanding of what’s going on in an image. In the same order, classification tells us what’s in the image. Detection tells us where it is approximately, and segmentation precisely tells us where it is.
Now, an even more complex step would be to represent this image in the real world. In other words, it would be…
If you clicked on this article, you are certainly interested in computer vision applications like image classification, image segmentation, object detection. These are all ‘basic’ computer vision tasks. More popular CV applications might ring you a bell: face recognition, image generation, or even style transfer application where you transform the style of a picture. Here you can visualize a Snapchat filter where the ‘style’ of your face is transformed into a cartoon or something else. As you may already know, with the growing power…