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High-speed AI drone beats world-champion racers for the first time

University creates the first autonomous system capable of beating humans at drone racing.

Challenge Accepted: High-speed AI Drone Overtakes World-Champion Drone Racers

High-speed AI Drone

SIGGRAPH 2023 Conference Commemorates 50 Years of Innovations With Growth in Contributed Works and In-person Attendees

Flying High-Speed Drones into Unknown with AI

Researchers at the University of Zurich have developed a new approach to autonomously fly quadrotors through unknown, complex environments at high

Reliability of researcher metric the h-index is in decline

GTA 5 fotorrealista: los mods gráficos más espectaculares en PC

Intel AI makes GTA 5 look photorealistic but not better

Published on 15 May, 2021 Yesterday saw the release of Mass Effect: Legendary Edition, a remaster which used AI to upscale many of the original game s textures so they look better at 4K. That s nothing compared to what Intel are working on, however. In a video called Enhancing Photorealism Enhancement, embedded below, Intel show Grand Theft Auto 5 after it has been run through a neural net to make the streets of Los Santos look more photorealistic. It works. You can see the work of researchers Stephan R. Richter, Hassan Abu AlHaija, and Vladlen Koltun below: In layman s terms, the process looks at frames of Grand Theft Auto, breaks the scene down into different elements, and then matches them with photos of a real city. It can then use parts of those photos to modify the images from the game.

GTA V Looks Almost Photorealistic Thanks To Machine Learning

GTA V Looks Almost Photorealistic Thanks To Machine Learning Share Filed to:3d rendering Grand Theft Auto V and through the power of magic make it look so damn real. This is a project by Stephan R. Richter, Hassan Abu AlHaija and Vladlen Koltun at Cornell University, culminating in a paper called Enhancing Photorealism Enhancement. Both the paper and the accompanying video get pretty heavy on technical details, so here’s the basic summary of what they’re doing: We present an approach to enhancing the realism of synthetic images. The images are enhanced by a convolutional network that leverages intermediate representations produced by conventional rendering pipelines. The network is trained via a novel adversarial objective, which provides strong supervision at multiple perceptual levels. We analyse scene layout distributions in commonly used datasets and find that they differ in important ways. We hypothesize that this is one of the causes of strong artifacts that can be

'Grand Theft Auto V' mod adds uncanny photorealism through AI

You may have seen Kotakureports that researchers Stephan Richter, Hassan Abu AlHaija and Vladlen Koltun have developed a technique that adds an uncanny level of photorealism to the game using machine learning. The method not only adopts more natural colors, but improves reflections, tweaks road texture smoothness and otherwise adds subtleties to GTA V s normally hyper-vivid look. The visual upgrade required a new approach to AI enhancement. While the concept of using real-world footage to guide the algorithms isn t new, the researchers found that existing methods either produced artifacts (and were frequently unstable ) or were too slow to be usable. There was often a wide gap between the footage used to train the AI and the in-game scenes. The new method grabs similar-looking patches to provide better reference points for enhancement, such as similar-looking cars and people, while keeping the frame rates relatively high.