The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference

Author:

Jones R. Kenny1,Habib Aalia1,Hanocka Rana2,Ritchie Daniel1

Affiliation:

1. Brown University

2. University of Chicago

Publisher

IEEE

Reference44 articles.

1. Organizing heterogeneous scene collection through contextual focal points;xu;ACM Trans actions on Graphics (TOG),2014

2. 3d shapenets: A deep representation for volumetric shapes;wu;Computer Vision and Pattern Recognition,2015

3. Learning Shape Abstractions by Assembling Volumetric Primitives;shubham;IEEE Conference on Computer Vision and Pattern Recognition (CVPR),0

4. Learning adaptive hierarchical cuboid abstractions of 3D shape collections

5. Hierarchy denoising recursive autoencoders for 3d scene layout prediction;yifei;Proceedings of the IEEE/CVF Con-ference on Computer Vision and Pattern Recognition (CVPR),0

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2. ReparamCAD: Zero-shot CAD Re-Parameterization for Interactive Manipulation;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

3. ShapeScaffolder: Structure-Aware 3D Shape Generation from Text;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

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