Neural Volumetric Object Selection

We introduce an approach for selecting objects in neural volumetric 3D representations, such as multi-plane images (MPI) and neural radiance fields (NeRF). Our approach takes a set of foreground and background 2D user scribbles in one view and automatically estimates a 3D segmentation of the desired...

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Bibliographic Details
Main Authors: Ren, Zhongzheng, Agarwala, Aseem, Russell, Bryan, Schwing, Alexander G., Wang, Oliver
Format: Conference Proceeding
Language:English
Subjects:
3D from multi-view and sensors
3D from single images
Segmentation
Computer vision
grouping and shape analysis
Image segmentation
Image sensors
Neural networks
Sensors
Shape
Three-dimensional displays
Online Access:Request full text
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