The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
PatchmatchNet: Learned Multi-View Patchmatch Stereo
Open accessAbstract
We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo. With high computation speed and low memory requirement, PatchmatchNet can process higher resolution imagery and is more suited to run on resource limited devices than competitors that employ 3D cost volume regularization. For the first time we introduce an iterative multi-scale Patchmatch in an end-to-end trainable architecture and improve the Patchmatch core algorithm with a novel and learned adaptive propagation and evaluation scheme for each iteration. Extensive experiments show a very competitive performance and generalization for our method on DTU, Tanks & Temples and ETH3D, but at a significantly higher efficiency than all existing top-performing models: at least two and a half times faster than state-of-the-art methods with twice less memory usage. Code is available at https://github.com/FangjinhuaWang/PatchmatchNet.
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Cites
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Feature Pyramid Networks for Object Detection
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Deformable Convolutional Networks
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Structure-from-Motion Revisited
Schonberger, J. L., & Frahm, J.-M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.445 · Cited by 6,433
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Pyramid Stereo Matching Network
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Cited by
Grounding Image Matching in 3D with MASt3R
Leroy, V., Cabon, Y., & Revaud, J. (2024) · arXiv · doi:10.48550/arxiv.2406.09756 · Cited by 309
Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Xu, G., Cheng, J., Guo, P., & Yang, X. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.01264 · Cited by 291
Metadata
- Authors
- Wang, F., Galliani, S., Vogel, C., Speciale, P., & Pollefeys, M.
- Venue
- 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2021-06
- Pages
- 14189-14198
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W3170262190
- Cited by
- 420
- References
- 42
- FWCI
- 24.17
- Type
- conference paper
- Language
- en
- Open access
- green
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- Wang, F., Galliani, S., Vogel, C., Speciale, P., & Pollefeys, M. (2021). PatchmatchNet: Learned Multi-View Patchmatch Stereo. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr46437.2021.01397
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