GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds
Author:
Affiliation:
1. Tsinghua University,School of Software,Beijing,China
2. Wayne State University,Department of Computer Science,Detroit,USA
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377458.pdf?arnumber=10377458
Reference103 articles.
1. SAL: Sign Agnostic Learning of Shapes From Raw Data
2. SALD: sign agnostic learning with derivatives;Atzmon
3. DiGS : Divergence guided shape implicit neural representation for unoriented point clouds;Ben-Shabat;CoRR,2021
4. Dynamic FAUST: Registering Human Bodies in Motion
5. POCO: Point Convolution for Surface Reconstruction
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1. MuSic-UDF: Learning Multi-Scale dynamic grid representation for high-fidelity surface reconstruction from point clouds;Computers & Graphics;2024-09
2. Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
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