TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers-Reference-Cited by-同舟云学术

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TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Ding Yikang¹,Yuan Wentao¹,Zhu Qingtian¹,Zhang Haotian¹,Liu Xiangyue¹,Wang Yuanjiang¹,Liu Xiao¹

Affiliation:

1. Megvii Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879144.pdf?arnumber=9879144

Reference35 articles.

1. BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks

2. Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference

3. Mvsnet: Depth inference for unstructured multi-view stereo;yao;Proceedings of the European Conference on Computer Vision (ECCV),0

4. Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

5. Deformable ConvNets V2: More Deformable, Better Results

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