NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors

Understand

Reconstructing 3D indoor scenes from 2D images is an important task in many computer vision and graphics applications.

• A main challenge in this task is that large texture-less areas in typical indoor scenes make existing methods struggle to produce satisfactory reconstruction results.
• We propose a new method, named NeuRIS, for high quality reconstruction of indoor scenes.
• The key idea of NeuRIS is to integrate estimated normal of indoor scenes as a prior in a neural rendering framework for reconstructing large texture-less shapes and, importantly, to do this in an adaptive manner to also enable the reconstruction of irregular shapes with fine details.