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It's nice but I wonder why there's still nobody that tried to create a spatially coherent 3D space from the input before re-synthesizing the output. It's defini
by John_KZ 8y ago
It's nice but I wonder why there's still nobody that tried to create a spatially coherent 3D space from the input before re-synthesizing the output. It's definitely possible and lots of work on this was done in late 2017. There should be more papers on creating and rendering 3D representations by now.
- rzzzt 8y agoI vaguely remember a demo showing a 3D model of a winter trail, which was recreated (and textured) from a sequence of photos. It was done with Photosynth, I believe: https://en.wikipedia.org/wiki/Photosynth https://en.wikipedia.org/wiki/Photosynth
- piceas 8y agoI didn't find the winter trail video but stumbled upon some interesting links: 2018 3D Scanning: A Comprehensive Survey https://arxiv.org/abs/1801.08863 https://arxiv.org/abs/1801.08863 2012-2014ish BigSFM: Reconstructing the World from Internet Photos http://www.cs.cornell.edu/projects/bigsfm/ http://www.cs.cornell.edu/projects/bigsfm/ David J. Crandall https://www.cs.indiana.edu/~djcran/#research https://www.cs.indiana.edu/~djcran/#research Andrew Owens http://andrewowens.com/ http://andrewowens.com/ Also check out his on/offscreen audio source separation work. It's pretty neat. (2018) Audio-Visual Scene Analysis with Self-Supervised Multisensory Features http://andrewowens.com/multisensory/ http://andrewowens.com/multisensory/ Noah Snavely http://www.cs.cornell.edu/~snavely/ http://www.cs.cornell.edu/~snavely/ (2018) MegaDepth: Learning Single-View Depth Prediction from Internet Photos http://www.cs.cornell.edu/projects/megadepth/ http://www.cs.cornell.edu/projects/megadepth/ https://www.youtube.com/watch?v=tGbMWAFMMBQ https://www.youtube.com/watch?v=tGbMWAFMMBQ With live demo page :) http://megadepthdemo.pythonanywhere.com/ http://megadepthdemo.pythonanywhere.com/