I re-implemented the techniques described here for a former employer (which sadly means I also cannot release the code). I was able to reproduce the quoted perf

I re-implemented the techniques described here for a former employer (which sadly means I also cannot release the code). I was able to reproduce the quoted performance figures (both accuracy according to the paper's metrics and execution time), but the actual quality of the output was not very good. Something like > 90% (number hazy based on vague recollection) of images produced results that had gross, glaring errors that would be unacceptable to a human. Errors like, "We added a horizon line where there wasn't one in the actual image," etc. But a few images produced compellingly plausible results. It's still very interesting stuff, and some of his later work on using this as an additional prior for more normal structure-from-motion pipelines looked pretty promising. In the form reported in this paper it wasn't something ready to be productized. Although it's also completely possible that I just screwed something up.