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Uses coordinate-based neural networks to model the scene volumetrically. However, in the case of this paper does not use an MLP to represent the scene. Instead,
by goodmattg 4y ago
Uses coordinate-based neural networks to model the scene volumetrically. However, in the case of this paper does not use an MLP to represent the scene. Instead, proposes to directly learn a voxel grid representation.
For an excellent review check out Advances in Neural Rendering:
https://arxiv.org/abs/2111.05849 https://arxiv.org/abs/2111.05849
- chroem- 4y ago> learn a voxel grid representation But isn't that what photogrammetry does?
- CyberDildonics 4y agoTypically it creates polygonal models with the photos used to directly texture them.
- rasz 4y agoI think photogrammetry produces point clouds
- CharlesW 4y agoYes, and then polygonal models (and other things) are built from those. For anyone who wants a more technical dive into the photogrammetry pipeline, here's a video I made for a company called Mapware for NVIDIA GTC 21: https://youtu.be/ktDVWzshR4w?t=331 https://youtu.be/ktDVWzshR4w?t=331
- Frost1x 4y agoSome techniques for downsampling point clouds use voxelgrid representations but in general you're mapping pixel data from varied images to each other in space and producing points from that to try and capture surface geometry.
- fxtentacle 4y agoso basically Agisoft Photoscan, a photogrammetry software based on casting rays through a voxel grid?
- chpatrick 4y agoThat's not how Photoscan works.
- fxtentacle 4y agoBut it does? Agisoft will first estimate depth maps and then project them into a voxel volume for extracting the high-resolution mesh. Debug logging even lists the voxel grid dimensions.