Fix noisy dark image and change after the fact camera viewpoint, focus, exposure, tones with RawNeRF

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Fix noisy dark image and change after the fact camera viewpoint, focus, exposure, tones with RawNeRF

NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
arXiv paper abstract https://arxiv.org/abs/2111.13679
arXiv PDF paper https://arxiv.org/pdf/2111.13679.pdf
Twitter https://twitter.com/quantombone/status/1465351288510685186
Twitter video https://twitter.com/Jamie_Vincent_/status/1563358819823980547
Project page https://bmild.github.io/rawnerf
YouTube https://www.youtube.com/watch?v=JtBS4KBcKVc
GitHub https://github.com/google-research/multinerf

Neural Radiance Fields (NeRF) is a technique for high quality novel view synthesis from a collection of posed input images.

… modify NeRF to instead train directly on linear raw images, preserving the scene’s full dynamic range.

By rendering raw output images from the resulting NeRF, … can perform novel high dynamic range (HDR) view synthesis tasks.

In addition to changing the camera viewpoint, … can manipulate focus, exposure, and tonemapping after the fact.

… When optimized over many noisy raw inputs (25–200), NeRF produces a scene representation so accurate that its rendered novel views outperform dedicated single and multi-image deep raw denoisers run on the same wide baseline input images.

… RawNeRF, can reconstruct scenes from extremely noisy images captured in near-darkness.

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A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.