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@article{bb232860,
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@article{bb232861,
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@article{bb232863,
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@article{bb232864,
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        TITLE = "PU-GACNet: Graph Attention Convolution Network for Point Cloud
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@article{bb232865,
        AUTHOR = "Wang, K.Y. and Sheng, L. and Gu, S.H. and Xu, D.",
        TITLE = "VPU: A Video-Based Point Cloud Upsampling Framework",
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@article{bb232866,
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@article{bb232867,
        AUTHOR = "Gu, F. and Zhang, C.L. and Wang, H.Y. and He, Q. and Huo, L.Z.",
        TITLE = "PU-WGCN: Point Cloud Upsampling Using Weighted Graph Convolutional
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        JOURNAL = RS,
        VOLUME = "14",
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@article{bb232868,
        AUTHOR = "Liu, H. and Yuan, H. and Hou, J.H. and Hamzaoui, R. and Gao, W.",
        TITLE = "PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D
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@article{bb232869,
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        TITLE = "A Noising-Denoising Framework for Point Cloud Upsampling via
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@article{bb232870,
        AUTHOR = "Liu, H. and Yuan, H. and Hamzaoui, R. and Liu, Q. and Li, S.",
        TITLE = "PU-Mask: 3D Point Cloud Upsampling via an Implicit Virtual Mask",
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@article{bb232871,
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        TITLE = "S4R: Rethinking Point Cloud Sampling via Guiding Upsampling-Aware
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@article{bb232872,
        AUTHOR = "Akhtar, A. and Li, Z. and van der Auwera, G. and Li, L. and Chen, J.L.",
        TITLE = "PU-Dense: Sparse Tensor-Based Point Cloud Geometry Upsampling",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772pcu2.html#TT227916"}

@article{bb232873,
        AUTHOR = "Rozsa, Z. and Sziranyi, T.",
        TITLE = "Optical Flow and Expansion Based Deep Temporal Up-Sampling of LIDAR
Point Clouds",
        JOURNAL = RS,
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        TITLE = "Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling",
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@inproceedings{bb232875,
        AUTHOR = "Zhao, W.B. and Liu, X.M. and Zhong, Z.W. and Jiang, J.J. and Gao, W. and Li, G. and Ji, X.Y.",
        TITLE = "Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit
Neural Representation",
        BOOKTITLE = CVPR22,
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        PAGES = "1989-1997",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772pcu2.html#TT227919"}

@article{bb232876,
        AUTHOR = "Li, Z.Z. and Li, G. and Li, T.H. and Liu, S. and Gao, W.",
        TITLE = "Semantic Point Cloud Upsampling",
        JOURNAL = MultMed,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772pcu2.html#TT227920"}

@article{bb232877,
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non-uniform point cloud",
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@article{bb232878,
        AUTHOR = "Han, B. and Deng, L.X. and Zheng, Y. and Ren, S.",
        TITLE = "S3U-PVNet: Arbitrary-scale point cloud upsampling via Point-Voxel
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        JOURNAL = CVIU,
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        YEAR = "2024",
        PAGES = "103890",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-i772pcu2.html#TT227922"}

@article{bb232879,
        AUTHOR = "Li, T.Y. and Lin, Y.H. and Cheng, B. and Ai, G. and Yang, J. and Fang, L.",
        TITLE = "PU-CTG: A Point Cloud Upsampling Network Using Transformer Fusion and
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        VOLUME = "16",
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        NUMBER = "3",
        PAGES = "450",
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@article{bb232880,
        AUTHOR = "Lim, S. and El Basyouny, K. and Yang, Y.H.",
        TITLE = "PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on
Neural Implicit Surface",
        JOURNAL = ITS,
        VOLUME = "25",
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        NUMBER = "10",
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@article{bb232881,
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        TITLE = "DSRNet: Depth Super-Resolution Network guided by blurry depth and
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@article{bb232884,
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@inproceedings{bb232889,
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@inproceedings{bb232890,
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@inproceedings{bb232894,
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@inproceedings{bb232897,
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@inproceedings{bb232898,
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@inproceedings{bb232899,
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Last update:Aug 19, 2026 at 13:26:35