ドローンエンジョイは、マイクロドローン 撮影数が日本一です。世界で活躍するドローンレーサーが、60グラムから1kg超えまで様々なドローンを使用し、地上カメラも種類多く使用し、撮影しています。 飛行時間は1,500時間を超えます。

Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF's learned mapping from spatial coordinates to colors and volumetric density. However, these grid-based approaches lack an explicit understanding of scale and therefore often introduce aliasing, usually in the form of jaggies or missing scene content. Anti-aliasing has previously been addressed by mip-NeRF 360, which reasons about sub-volumes along a cone rather than points along a ray, but this approach is not natively compatible with current grid-based techniques. We show how ideas from rendering and signal processing can be used to construct a technique that combines mip-NeRF 360 and grid-based models such as Instant NGP to yield error rates that are 8%-76% lower than either prior technique, and that trains 22x faster than mip-NeRF 360.