PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions

Inferring programs which generate 2D and 3D shapes is important for reverse engineering, editing, and more. Training models to perform this task is complicated because paired (shape, program) data is not readily available for many domains, making exact supervised learning infeasible. However, it is...

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Podrobná bibliografie

Vydáno v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 9861 - 9870
Hlavní autoři:	Jones, R. Kenny, Walke, Homer, Ritchie, Daniel
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.06.2022
Témata:	grouping and shape analysis Predictive models Reinforcement learning Reverse engineering Self-& semi-& meta- Deep learning architectures and techniques; Machine learning; Segmentation Shape Supervised learning Three-dimensional displays Training
ISSN:	1063-6919
On-line přístup:	Získat plný text
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