Point Cloud Upsampling via Disentangled Refinement
Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu
2021年份
31顶会引用
摘要
Figure 1. In the top row, we show (a) a sparse real-scanned point set from [23], followed by upsampled results (16×) produced by (b) MPU [26], (c) PU-GAN [12], and (d) our method. In the bottom row, we show the associated reconstructed 3D meshes produced by the ball-pivoting algorithm [2]. Clearly, our method outperforms others on the local uniformity, contributing a better surface reconstruction.
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引用它的顶会 Paper31
- Neural Points: Point Cloud Representation with Neural Fields for Arbitrary UpsamplingWanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo 等CVPR 2022 · 被引用 81 次
- PatchFormer: An Efficient Point Transformer with Patch AttentionCheng Zhang, Haocheng Wan, Xinyi Shen, Zizhao WuCVPR 2022 · 被引用 77 次
- Density-preserving Deep Point Cloud CompressionYun He, Xinlin Ren, Danhang Tang, Yinda Zhang 等CVPR 2022 · 被引用 70 次
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural RepresentationWenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang 等CVPR 2022 · 被引用 62 次
- Hyperbolic Chamfer Distance for Point Cloud CompletionFangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu 等ICCV 2023 · 被引用 53 次
它引用的顶会 Paper8
- Deep Hough Voting for 3D Object Detection in Point CloudsCharles R. Qi, Or Litany, Kaiming He, Leonidas J. GuibasICCV 2019 · 被引用 1,467 次
- Deep Closest Point: Learning Representations for Point Cloud RegistrationYue Wang, Justin SolomonICCV 2019 · 被引用 1,026 次
- Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World DataMikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen 等ICCV 2019 · 被引用 1,003 次
- PU-GAN: A Point Cloud Upsampling Adversarial NetworkRuihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or 等ICCV 2019 · 被引用 496 次
- ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells StatisticsZhiyuan Zhang, Binh-Son Hua, Sai-Kit YeungICCV 2019 · 被引用 400 次
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