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

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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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.