MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions

MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions

27 April 2021

Zhile Ren

Papers citing "MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions"

5 / 5 papers shown

Title
Matrix3D: Large Photogrammetry Model All-in-One Yuanxun Lu Jingyang Zhang Tian Fang Jean-Daniel Nahmias Yanghai Tsin Long Quan Xun Cao Yao Yao Shiwei Li 103 4 0 11 Feb 2025
DepthSplat: Connecting Gaussian Splatting and Depth Haofei Xu Songyou Peng Fangjinhua Wang Hermann Blum Dániel Baráth Andreas Geiger Marc Pollefeys 3DGS MDE 50 29 0 17 Oct 2024
SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modeling Yijun Yuan M. Bleier Andreas Nüchter 44 0 0 13 May 2024
CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer Sicheng Wang Hao Jiang Lei Xiang ViT 17 2 0 14 Dec 2023
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo Zhenxing Mi Di Chang Dan Xu 3DV 38 56 0 04 Dec 2021