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Evaluation of 3D Scene Graph APIs for Java

, 2012
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Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions [PDF]

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Scene understanding has been of high interest in computer vision. It encompasses not only identifying objects in a scene, but also their relationships within the given context. With this goal, a recent line of works tackles 3D semantic segmentation and scene layout prediction.
Federico Tombari, Nassir Navab, Johanna Wald   +2 more
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Scene Graph with 3D Information for Change Captioning

Proceedings of the 29th ACM International Conference on Multimedia, 2021
Change captioning aims to describe the differences in image pairs with natural language. It is an interesting task under-explored with two main challenges: describing the relative position relationship between objects correctly and overcoming the disturbances from viewpoint changes.
Zeming Liao, Qingbao Huang, Yu Liang, Mingyi Fu, Yi Cai 0001, Qing Li 0001   +5 more
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Collaboration on Scene Graph Based 3D Data

2007
Professional 3D digital content creation tools, like Alias Maya or discreet 3ds max, offer only limited support for a team of artists to work on a 3D model collaboratively. We present a scene graph repository system that enables fine-grained collaboration on scenes built using standard 3D DCC tools by applying the concept of collaborative versions to a
Ammon, Lorenz, Bieri, Hanspeter
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Objects layout graph for 3D complex scenes

IEEE International Conference on Image Processing 2005, 2005
This paper shows how to extract information about the parts and their layout in a complex scene when a single range image is available. In the worst case, the complexity of the scene includes: no shape-restrictions, shades, occlusion, cluttering, contact, surfaces viewed in oblique angles and without textures.
Antonio Adán, Pilar Merchán, Santiago Salamanca, Andrés S. Vázquez, Miguel Adán, Carlos Cerrada   +5 more
openaire   +2 more sources

Hyperbolic Hierarchical 3D Scene Representations for Open-Vocabulary 3D Scene Graph Generation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Open-vocabulary 3D scene graph generation aims to predict 3D objects and their predicates beyond the annotated label space. Compared to closed-set 3D scene graph generation methods, the open-vocabulary approach is more general, practical, and less dependent on labor-intensive ground truth annotations.
Haoran, Hou, Mingtao, Feng, Qing, Zhu, Zijie, Wu, Jianqiao, Luo, Min, Liu, Yaonan, Wang   +6 more
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Scene Graph Masked Variational Autoencoders for 3D Scene Generation

Proceedings of the 31st ACM International Conference on Multimedia, 2023
Rui Xu, Le Hui, Yuehui Han, Jianjun Qian, Jin Xie   +4 more
openaire   +2 more sources

3D Reconstruction of Graph Objects, Scenes, and Environments

2012
The purpose of this chapter is to provide a basic understanding of how three-dimensional (3D) statistical visual displays aid in education. The chapter seeks to discuss the importance of surface objects, scenes, and environments reconstructed to enhance the interpretation of charts. Further described are the different types of 3D charts available: bar,
Suhana Chikatla, Ukaiko Bitrus-Ojiambo
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A Comprehensive Survey of Scene Graphs: Generation and Application

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Pengfei Xu, Zhihui Li, Pengzhen Ren
exaly  

RelTR: Relation Transformer for Scene Graph Generation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Michael Ying Yang, Bodo Rosenhahn, Yuren Cong   +2 more
exaly