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NeRF is a popular model that efficiently represents 3D objects from 2D images. However, vanilla NeRF has a few important limitations. NeRF must be trained on each object separately. The training time is long since we encode the object's shape and col
Externí odkaz:
http://arxiv.org/abs/2305.10579
Contemporary registration devices for 3D visual information, such as LIDARs and various depth cameras, capture data as 3D point clouds. In turn, such clouds are challenging to be processed due to their size and complexity. Existing methods address th
Externí odkaz:
http://arxiv.org/abs/2206.01290
Publikováno v:
In Pattern Recognition Letters September 2024 185:8-14
