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Hey James, since you seem to know a lot about graphics and ML. Am wondering which specific problems remain open before what I mentioned becomes more feasible pr
by formalsystem 8y ago
Hey James, since you seem to know a lot about graphics and ML. Am wondering which specific problems remain open before what I mentioned becomes more feasible product wise?
- modeless 8y agoThe domain of images used in this research is extremely limited. These are very low resolution artificially generated images of small scenes with simple lighting, simple textures, simple geometry, and very restricted camera positions and parameters that are known exactly (which is not the case for most natural photos). Each of those restrictions needs to be lifted before this will work on realistic natural scenes, and that will require many orders of magnitude more data. It's not clear that this approach will easily scale up to that amount of dataset variation. It's likely that a much fancier neural net architecture and training scheme will be required, and probably faster hardware too. This is not intended as a criticism of this research, which I think is really great.