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Neural 3D Reconstruction in the Wild”
[SIGGRAPH 2022]
When will neural-based approaches beat COLMAP in terms of both speed and quality of the surface reconstruction? Here is the Neural Rendering method tackling the quality part.
Authors show that with a clever sampling strategy, neural-based 3D reconstruction for large scenes in the wild can be better and faster than COLMAP.
The method is built on top of NeuS (2 MLPs for prediction color and SDF for (x,y,z) loсation). The main contribution is a hybrid voxel- and surface guided sampling technique that allows for more efficient ray sampling around surfaces and leads to significant improvements in
reconstruction quality (see figure attached).
❱❱ Project page
Code is coming soon
@Artem Gradient
[SIGGRAPH 2022]
When will neural-based approaches beat COLMAP in terms of both speed and quality of the surface reconstruction? Here is the Neural Rendering method tackling the quality part.
Authors show that with a clever sampling strategy, neural-based 3D reconstruction for large scenes in the wild can be better and faster than COLMAP.
The method is built on top of NeuS (2 MLPs for prediction color and SDF for (x,y,z) loсation). The main contribution is a hybrid voxel- and surface guided sampling technique that allows for more efficient ray sampling around surfaces and leads to significant improvements in
reconstruction quality (see figure attached).
❱❱ Project page
Code is coming soon
@Artem Gradient
Neural 3D Reconstruction in the Wild”
[SIGGRAPH 2022]
When will neural-based approaches beat COLMAP in terms of both speed and quality of the surface reconstruction? Here is the Neural Rendering method tackling the quality part.
Authors show that with a clever sampling strategy, neural-based 3D reconstruction for large scenes in the wild can be better and faster than COLMAP.
The method is built on top of NeuS (2 MLPs for prediction color and SDF for (x,y,z) loсation). The main contribution is a hybrid voxel- and surface guided sampling technique that allows for more efficient ray sampling around surfaces and leads to significant improvements in
reconstruction quality (see figure attached).
❱❱ Project page
Code is coming soon
@Artem Gradient
[SIGGRAPH 2022]
When will neural-based approaches beat COLMAP in terms of both speed and quality of the surface reconstruction? Here is the Neural Rendering method tackling the quality part.
Authors show that with a clever sampling strategy, neural-based 3D reconstruction for large scenes in the wild can be better and faster than COLMAP.
The method is built on top of NeuS (2 MLPs for prediction color and SDF for (x,y,z) loсation). The main contribution is a hybrid voxel- and surface guided sampling technique that allows for more efficient ray sampling around surfaces and leads to significant improvements in
reconstruction quality (see figure attached).
❱❱ Project page
Code is coming soon
@Artem Gradient
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