C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction-Reference-Cited by-同舟云学术

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C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction

Published:2023-10-01 Issue: Volume:35 Page:18245-18255
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Xu Luoyuan¹,Guan Tao¹,Wang Yuesong¹,Liu Wenkai¹,Zeng Zhaojie¹,Wang Junle²,Yang Wei¹

Affiliation:

1. Huazhong University of Science and Technology,School of Computer Science and Technology

2. Tencent

Funder

National Natural Science Foundation of China

Tencent

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378140.pdf?arnumber=10378140

Reference60 articles.

1. Large-Scale Data for Multiple-View Stereopsis

2. SAL: Sign Agnostic Learning of Shapes From Raw Data

3. RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering

4. MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

5. Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NeIF: Generalizable Illumination Neural Radiance Fields with Implicit Feature Volume;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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