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There is a massive difference between a research project and doing something in production at scale. Also Netflix doesn't shoot their own movies so I wonder wh
by mcoliver 3y ago
There is a massive difference between a research project and doing something in production at scale. Also Netflix doesn't shoot their own movies so I wonder who this is developed for? There are better ways to do background replacements and pull mattes without forcing actors to work under blue and red light.
Megapixel's Ghostframe is another interesting approach to mattes with LED walls which have their own spiky chroma issues with only RGB emitters. Adding more LEDs of other colors to improve the spectrum could alleviate that but I'm guessing there are cost and manufacturing hurdles there which make it more cost effective to fix it in post where a grade is usually applied anyways.
https://www.ghostframe.com/ https://www.ghostframe.com/
- tomnipotent 3y agoNetflix requires something like 90% of filming to be captured on one of their approved cameras. I also believe they do some post-production in-house.
- rperez333 3y agoNetflix acquired one high-end VFX studio recently - Scanline. A lot of the compositing work is edge integration, so this could in theory translates in cost savings on their pipeline. Also, this research is under the supervision of Paul Debevec, who spearheaded more than 20 years ago the image-based lighting and high dynamic range workflow used in virtually every single production now. If we see chrome balls in film sets, it is because of him! That said, I don't think this will find its way on sets, mostly because DOPs/directors are very precious about the way they capture their images. The alternative they offer in the paper, using a reduced shutter speed and adding synthetic motion blur, is also a big ask - with the added problem of syncing the cameras to the lights, which would slow production. In my experience, extracting the alpha is not an issue - compositors can get close to the GT using old tools/algorithms. However, getting the original colour around the semitransparent areas is the biggest hurdle - and each artist uses a bunch of approximations and local fixes, which are very time-consuming. Recoloring the edges would be enough to revolutionize this workflow. Given their virtual stage + deep learning technology, they are in a good position to make this happen.