53 citations · 106 across the 24 of their papers we have counts for
5 papers · 1 filter
NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion
Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov +4
We present a novel method for 3D surface reconstruction from multiple images where only a part of the object of interest is captured. Our approach builds on two recent developments…
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
Yiqun Wang, Ivan Skorokhodov, Peter Wonka
A signed distance function (SDF) parametrized by an MLP is a common ingredient of neural surface reconstruction. We build on the successful recent method NeuS to extend it by three…
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
Yue Fan, Ningjing Fan, Ivan Skorokhodov +5
We develop a method that recovers the surface, materials, and illumination of a scene from its posed multi-view images. In contrast to prior work, it does not require any additiona…
SDFReg: Learning Signed Distance Functions for Point Cloud Registration
Leida Zhang, Zhengda Lu, Kai Liu +1
Learning-based point cloud registration methods can handle clean point clouds well, while it is still challenging to generalize to noisy, partial, and density-varying point clouds.…
BlobGAN-3D: A Spatially-Disentangled 3D-Aware Generative Model for Indoor Scenes
Qian Wang, Yiqun Wang, Michael Birsak +1
3D-aware image synthesis has attracted increasing interest as it models the 3D nature of our real world. However, performing realistic object-level editing of the generated images…