NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation-Reference-Cited by-同舟云学术

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NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Zheng Zehan¹,Wu Danni¹,Lu Ruisi¹,Lu Fan¹,Chen Guang¹,Jiang Changjun¹

Affiliation:

1. Tongji University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204367.pdf?arnumber=10204367

Reference49 articles.

1. Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

2. Are we ready for autonomous driving? The KITTI vision benchmark suite

3. Adam: A method for stochastic optimization;kingma;ArXiv Preprint,2014

4. Alias-free generative adversarial networks;karras;Advances in neural information processing systems,2021

5. Point Cloud Interaction and Manipulation in Virtual Reality

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1. Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes;Computer Graphics Forum;2024-04-30

2. FINet: Fast Point Cloud Interpolation Network via Distance Transform;2024 the 8th International Conference on Innovation in Artificial Intelligence;2024-03-16

3. MCFP: A multi-target 3D perception method with weak dependence on 2D detectors;Pattern Recognition Letters;2024-02

4. 5-D Seismic Data Interpolation by Continuous Representation;IEEE Transactions on Geoscience and Remote Sensing;2024

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