Shutterbugs will no longer need to worry about low light while taking their best shots. Google is working on a new AI image noise reduction technology that will help photographers to effectively see in the dark. Basically, it can change the way you do low-light photography. This new Google Research unveiled an exciting technology that uses artificial intelligence to reconstruct a dark scene with powerful de-noising. Google research called this new AI noise reduction tool RawNeRF under their open source project known as MultiNeRF.
Google tool named RawNeRF is said to be having unprecedented de-noising power that can read images to add higher levels of detail in low-light settings. The team behind the project claims that it works better than any other noise reduction tool out there. This tool can be a game-changer in night photography, it added.
The researchers explained in a Cornell University paper, “Neural Radiance Fields (NeRF) is a technique for high-quality novel view synthesis from a collection of posed input images. Like most view synthesis methods, NeRF uses tone-mapped low dynamic range (LDR) as input; these images have been processed by a lossy camera pipeline that smooths detail, clips highlights, and distorts the simple noise distribution of raw sensor data.”
So this new tool doesn't just work like a de-noiser but can be used to manipulate camera position, view of the scene, focus, exposure, and tone mapping after the fact. In a video demonstration by a researcher Ben Mildenhall showed the use of NeRF in the Dark. Mildenhall takes a cell phone lit only by candlelight.
He used a smartphone photo of a candlelit table to demonstrate how the RawNeRF tool can help make the low-light photo effective. He used minimal
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