4 ms·
Does this work in reconstructing indoor spaces? Give it a shot and find out! Have you released the code? (Or did you mean I could try re-implementing the work
by philipkglass 6y ago
Does this work in reconstructing indoor spaces? Give it a shot and find out!
Have you released the code? (Or did you mean I could try re-implementing the work you published from the paper? That's a reasonable response too.) I didn't see a link to source in the github.io page or in the arXiv paper. The only source code link I saw was to https://github.com/bmild/nerf https://github.com/bmild/nerf which I thought was earlier work than this paper.
- duckworthd 6y agoOur code is not released yet. If your data is captured without occluders and in RAW format, you don't need the enhancements we propose :). NeRF can do amazing things with clean data!
- StavrosK 6y agoI just saw the NeRF demo video, it's amazing. If its results are this good, why is photogrammetry software not basically perfect yet? It looks like they can generate models with vast amounts of detail.
- m3at 6y agoNot the author (but I read the previous papers and the code), the simple answer is that it's still very costly in processing power. Think a few hours on good hardware for a set of pictures. Note that the results are still very impressive imo, this is still early research phase.
- duckworthd 6y agoNeRF was first published in March! Give us time :)
- toomuchtodo 6y agoThanks so much for taking the time to do this impromptu AMA. The excitement over the tech is clearly palpable :)