A sparse voxel reconstruction framework that converts 2D surface regions into 3D geometric regularizers, improving reconstruction accuracy on DTU, Tanks and Temples, and Mip-NeRF 360.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Surfsvr: 2D Surface Priors as 3D Geometric Regularizers for Sparse Voxel Reconstruction
A sparse voxel reconstruction framework that converts 2D surface regions into 3D geometric regularizers, improving reconstruction accuracy on DTU, Tanks and Temples, and Mip-NeRF 360.