2022
DOI: 10.1007/978-3-031-20062-5_25
|View full text |Cite
|
Sign up to set email alerts
|

DeepMend: Learning Occupancy Functions to Represent Shape for Repair

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 48 publications
0
1
0
Order By: Relevance
“…Nikolas Lamb et al proposed DeepJoin, an automated approach for repairing fractured shapes for asymmetrical and symmetrical objects, which is an automated and predicted approach for generating high-resolution restoration shapes with ground truth fractures and restoration [34]. DeepJoin generates plausible restoration shapes for ancient Greek pottery from the Cultural Heritage dataset and serves for more complex objects.…”
Section: The Visualization Of Ceramics After Restoration With Vr Tech...mentioning
confidence: 99%
“…Nikolas Lamb et al proposed DeepJoin, an automated approach for repairing fractured shapes for asymmetrical and symmetrical objects, which is an automated and predicted approach for generating high-resolution restoration shapes with ground truth fractures and restoration [34]. DeepJoin generates plausible restoration shapes for ancient Greek pottery from the Cultural Heritage dataset and serves for more complex objects.…”
Section: The Visualization Of Ceramics After Restoration With Vr Tech...mentioning
confidence: 99%