Good lighting when taking photos or videos ensures quality images, even with the worst camera. But especially for photos taken with smartphones digital noiseso scattered in the photos taken, most brightly colored spots remains a major problem. google research team, MultiNerf A new project for the artificial intelligence project he mentioned open source may have found a solution to this issue by adding:
tech giant googlefrom a single photo of the DeepMind artificial intelligence team recently 30 second 3D videos announced an artificial intelligence that could Google teams, who continue to work on videos and photos, RawNeRF infrastructure with a new artificial intelligence program called โlooking in the darkโ your strength will take it to a whole new level.
The infrastructure is built on a special system
The RawNeRF program increases exposure for photos taken in dark conditions and low light. high level of detail It can read images using artificial intelligence to add According to the team behind the project, RawNeRF works better than any other noise reduction tool.
This infrastructure is specially trained machine learning and artificial intelligence systems on which it was founded. In this way, it ensures that the captured photos are cleaner and brighter. RawNeRF, very much high ISO in low light taken with the value and “noise”, ie sandblasting or ‘noise’ It helps to clean even problem photos in seconds. The most remarkable thing about the system is that it does this by protecting the tissues.
Google researchers explained that RawNeRF can combine images taken from many different camera perspectives to de-noise and reconstruct the scene together. The reconstructed images are linear in HDR color space It is processed and allows users to further manipulate angles, exposures, tone mapping and focus. Mildenhall explains in his video that each of these changes together. “A game that can draw attention to different parts of the stage. atmospheric effect you made” states.
RawNeRF is still in its research and development phase and is seen as an exciting development in how AI can help makers better represent the world around them.
Source: Web Tekno
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