171 related articles for article (PubMed ID: 35696479)
1. SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization.
Liu X; Liu X; Liu YS; Han Z
IEEE Trans Image Process; 2022; 31():4213-4226. PubMed ID: 35696479
[TBL] [Abstract][Full Text] [Related]
2. PU-Dense: Sparse Tensor-Based Point Cloud Geometry Upsampling.
Akhtar A; Li Z; Auwera GV; Li L; Chen J
IEEE Trans Image Process; 2022; 31():4133-4148. PubMed ID: 35696481
[TBL] [Abstract][Full Text] [Related]
3. Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling.
Zhao W; Liu X; Zhai D; Jiang J; Ji X
IEEE Trans Pattern Anal Mach Intell; 2023 Oct; 45(10):12394-12407. PubMed ID: 37347630
[TBL] [Abstract][Full Text] [Related]
4. iPUNet: Iterative Cross Field Guided Point Cloud Upsampling.
Wei G; Pan H; Zhuang S; Zhou Y; Li C
IEEE Trans Vis Comput Graph; 2023 Oct; PP():. PubMed ID: 37856273
[TBL] [Abstract][Full Text] [Related]
5. Cascaded Refinement Network for Point Cloud Completion With Self-Supervision.
Wang X; Ang MH; Lee GH
IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):8139-8150. PubMed ID: 34460366
[TBL] [Abstract][Full Text] [Related]
6. PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling.
Liu H; Yuan H; Hou J; Hamzaoui R; Gao W
IEEE Trans Image Process; 2022; 31():7389-7402. PubMed ID: 36417728
[TBL] [Abstract][Full Text] [Related]
7. PU-Flow: A Point Cloud Upsampling Network With Normalizing Flows.
Mao A; Du Z; Hou J; Duan Y; Liu YJ; He Y
IEEE Trans Vis Comput Graph; 2023 Dec; 29(12):4964-4977. PubMed ID: 35925853
[TBL] [Abstract][Full Text] [Related]
8. VPU: A Video-Based Point Cloud Upsampling Framework.
Wang K; Sheng L; Gu S; Xu D
IEEE Trans Image Process; 2022; 31():4062-4075. PubMed ID: 35436193
[TBL] [Abstract][Full Text] [Related]
9. From Noise Addition to Denoising: A Self-Variation Capture Network for Point Cloud Optimization.
Zhao T; Gao P; Tian T; Ma J; Tian J
IEEE Trans Vis Comput Graph; 2024 Jul; 30(7):3413-3426. PubMed ID: 37015380
[TBL] [Abstract][Full Text] [Related]
10. Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud.
Ye S; Chen D; Han S; Wan Z; Liao J
IEEE Trans Vis Comput Graph; 2022 Sep; 28(9):3206-3218. PubMed ID: 33560989
[TBL] [Abstract][Full Text] [Related]
11. Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering.
Chen S; Duan C; Yang Y; Li D; Feng C; Tian D
IEEE Trans Image Process; 2019 Dec; ():. PubMed ID: 31831423
[TBL] [Abstract][Full Text] [Related]
12. Triangle-Mesh-Rasterization-Projection (TMRP): An Algorithm to Project a Point Cloud onto a Consistent, Dense and Accurate 2D Raster Image.
Junger C; Buch B; Notni G
Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631565
[TBL] [Abstract][Full Text] [Related]
13. TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion.
Liu M; Li X; Liu J; Liu W; Yu Z
Comput Biol Med; 2023 Nov; 166():107519. PubMed ID: 37801919
[TBL] [Abstract][Full Text] [Related]
14. Depth Map Restoration From Undersampled Data.
Mandal S; Bhavsar A; Sao AK
IEEE Trans Image Process; 2017 Jan; 26(1):119-134. PubMed ID: 27831871
[TBL] [Abstract][Full Text] [Related]
15. Fast Learning of Signed Distance Functions From Noisy Point Clouds Via Noise to Noise Mapping.
Zhou J; Ma B; Liu YS; Han Z
IEEE Trans Pattern Anal Mach Intell; 2024 Jun; PP():. PubMed ID: 38889034
[TBL] [Abstract][Full Text] [Related]
16. Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration.
Lu F; Chen G; Liu Y; Zhan Y; Li Z; Tao D; Jiang C
IEEE Trans Pattern Anal Mach Intell; 2023 Sep; 45(9):11270-11282. PubMed ID: 37027256
[TBL] [Abstract][Full Text] [Related]
17. Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box Mining.
Liao Y; Zhu H; Zhang Y; Ye C; Chen T; Fan J
IEEE Trans Pattern Anal Mach Intell; 2022 Dec; 44(12):10159-10170. PubMed ID: 34847018
[TBL] [Abstract][Full Text] [Related]
18. LSPConv: local spatial projection convolution for point cloud analysis.
Zhang H; Wang K; Zhong C; Yun K; Wang Z; Yang Y; Tao X
PeerJ Comput Sci; 2024; 10():e1738. PubMed ID: 38196958
[TBL] [Abstract][Full Text] [Related]
19. Deep Magnification-Flexible Upsampling Over 3D Point Clouds.
Qian Y; Hou J; Kwong S; He Y
IEEE Trans Image Process; 2021; 30():8354-8367. PubMed ID: 34591759
[TBL] [Abstract][Full Text] [Related]
20. Dual-View 3D Reconstruction via Learning Correspondence and Dependency of Point Cloud Regions.
Jia X; Yang S; Wang Y; Zhang J; Peng Y; Chen S
IEEE Trans Image Process; 2022; 31():6831-6846. PubMed ID: 36269919
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
