FEATURED COMPUTER VISION
Robots Learn Tasks in Reverse for Greater Precision
The researchers developed a new way for robots to understand how to accomplish complex tasks by thinking backwards from their goal,.
Read Full Paper →AI Predicts Scene From Any Angle With Moving Objects In Real-Time
The researchers created a new computer model that uses one video to predict what a scene would look like from any angle in three dimensions, including moving objects. This innovation could have important practical applications, such as creating digital replicas of real-world environments quickly and accurately for use in fields like architecture, urban planning, or even movie special effects.
Read Paper →AI Builds Realistic Worlds From Photos
Scientists created a computer program called PlayerOne that can build realistic virtual worlds from photos or videos taken by a person, allowing them to explore these environments in a more immersive way. This technology has the potential to revolutionize fields like robotics, gaming, and artificial intelligence by enabling more realistic simulations of human movement and interaction with the world.
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AI Learns to Restore Damaged Images with Accuracy
Scientists created a new method to restore damaged images, focusing on getting both visual details and written words correct. Their approach was able to significantly improve the accuracy of recognizing text in restored images, outdoing previous methods that often produced fake but plausible-looking text.
Read Paper →AI Learns Images From Coarse to Fine Detail
Scientists developed a new way to process images by breaking them down into simpler parts that can be combined to form the complete picture. This approach has several benefits, including being able to generate high-quality images from partial information and allowing for faster and more efficient processing of images at different resolutions.
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