A Revisit of Shape Editing Techniques: From the Geometric to the Neural Viewpoint

Author:

Yuan Yu-Jie,Lai Yu-Kun,Wu Tong,Gao Lin,Liu Ligang

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Reference288 articles.

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2. Yang J, Mo K, Lai Y K, Guibas L J, Gao L. DSMNet: Disentangled structured mesh net for controllable generation of fine geometry. arXiv:2008.05440, 2020. https://arxiv.org/abs/2008.05440, Jan. 2021.

3. Chen Z, Zhang H. Learning implicit fields for generative shape modeling. In Proc. the 2019 IEEE Conference on Computer Vision and Pattern Recognition, June 2019, pp.5939-5948. https://doi.org/10.1109/CVPR.2019.00609.

4. Xu Q, Wang W, Ceylan D, Mech R, Neumann U. DISN: Deep implicit surface network for high-quality single-view 3D reconstruction. In Proc. the 2019 Annual Conference on Neural Information Processing Systems, December 2019, pp.492-502.

5. Gao L, Zhang L X, Meng H Y, Ren Y H, Lai Y K, Kobbelt L. PRS-Net: Planar reflective symmetry detection net for 3D models. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2020.3003823.

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