INPC: Implicit Neural Point Clouds for Radiance Field Rendering

F Hahlbohm, L Franke, M Kappel, S Castillo… - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce a new approach for reconstruction and novel-view synthesis of unbounded
real-world scenes. In contrast to previous methods using either volumetric fields, grid-based …

Deep learning-based 3D reconstruction from multiple images: A survey

C Wang, MA Reza, V Vats, Y Ju, N Thakurdesai… - Neurocomputing, 2024 - Elsevier
Reconstructing the three-dimensional structure of a scene is a classic and fundamental
problem in computer vision, but it has been revolutionized by recent advancements in deep …

EA-MVSNet: Learning Error-Awareness for Enhanced Multi-View Stereo

W Gu, H Xiao, X Zhao, W Kang - IEEE Transactions on Circuits …, 2024 - ieeexplore.ieee.org
Multi-view stereo (MVS) aims to reconstruct the dense 3D geometry of a scene by
processing and relating images captured from different viewpoints. Despite impressive …

SDL-MVS: View Space and Depth Deformable Learning Paradigm for Multi-View Stereo Reconstruction in Remote Sensing

YQ Mao, H Bi, L Xu, K Chen, Z Wang, X Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
Research on multi-view stereo based on remote sensing images has promoted the
development of large-scale urban 3D reconstruction. However, remote sensing multi-view …

MFE‐MVSNet: Multi‐scale feature enhancement multi‐view stereo with bi‐directional connections

HW Lai, CL Ye, Z Li, P Yan, Y Zhou - IET Image Processing, 2024 - Wiley Online Library
Recent advancements in deep learning have significantly improved performance in the multi‐
view stereo (MVS) domain, yet achieving a balance between reconstruction efficiency and …