> A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from two-dimensional images. The NeRF model enables downstream applications of novel view synthesis, scene geometry reconstruction, and obtaining the reflectance properties of the scene. Additional scene properties such as camera poses may also be jointly learned. First introduced in 2020,[1] it has since gained significant attention for its potential applications in computer graphics and content creation.[2]
- Business Concept: A b2b business idea from awhile ago expanded: "Adjustable Wire Shelving Emporium"; [business, office supply] client product mix 3D configurator with product placement upsells; from photos of a space to products that would work there. Presumably there's already dimensional calibration with a known-good dimension or two;
- ENH: the tabletop in that photo is n x m, so the rest of the objects are probably about
- ENH: the building was constructed in YYYY in Locality, so the building code there then said that the commercial framing studs should be here and the cables and wiring should be there.
My issue was moreso I had 0 experience with 3D and they wanted me to slap something together with threejs. I didn't even know JavaScript that well at the time. That is a pretty cool project though.
> A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from two-dimensional images. The NeRF model enables downstream applications of novel view synthesis, scene geometry reconstruction, and obtaining the reflectance properties of the scene. Additional scene properties such as camera poses may also be jointly learned. First introduced in 2020,[1] it has since gained significant attention for its potential applications in computer graphics and content creation.[2]
- https://nerf.studio/
- https://smerf-3d.github.io/
- https://news.ycombinator.com/item?id=38636329
- Business Concept: A b2b business idea from awhile ago expanded: "Adjustable Wire Shelving Emporium"; [business, office supply] client product mix 3D configurator with product placement upsells; from photos of a space to products that would work there. Presumably there's already dimensional calibration with a known-good dimension or two;
- ENH: the tabletop in that photo is n x m, so the rest of the objects are probably about
- ENH: the building was constructed in YYYY in Locality, so the building code there then said that the commercial framing studs should be here and the cables and wiring should be there.