Shape Synthesis from Sketches via Procedural Models and Convolutional Networks-Reference-Cited by-同舟云学术

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Shape Synthesis from Sketches via Procedural Models and Convolutional Networks

Published:2017-08-01 Issue:8 Volume:23 Page:2003-2013
ISSN:1077-2626
Container-title:IEEE Transactions on Visualization and Computer Graphics
language:
Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Huang Haibin,Kalogerakis Evangelos,Yumer Ersin,Mech Radomir

Funder

US National Science Foundation

NVidia for GPU donations

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

http://ieeexplore.ieee.org/ielaam/2945/7961285/7530838-aam.pdf

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. From sketch to reality: precision-friendly 3D generation technology;The Visual Computer;2024-05-16

2. DeepTreeSketch: Neural Graph Prediction for Faithful 3D Tree Modeling from Sketches;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Data‐guided Authoring of Procedural Models of Shapes;Computer Graphics Forum;2023-10

4. GA‐Sketching: Shape Modeling from Multi‐View Sketching with Geometry‐Aligned Deep Implicit Functions;Computer Graphics Forum;2023-10

5. Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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