Results 11 to 20 of about 2,792,973 (280)

Graph Canvas for Controllable 3D Scene Generation [PDF]

Proceedings of the 33rd ACM International Conference on Multimedia
Spatial intelligence is foundational to AI systems that interact with the physical world, particularly in 3D scene generation and spatial comprehension. Current methodologies for 3D scene generation often rely heavily on predefined datasets, and struggle to adapt dynamically to changing spatial relationships.
Libin Liu, Shen Chen, Sen Jia 0003, Jingzhe Shi, Can Jin, Zongkai Wu, Jenq-Neng Hwang, Lei Li 0050   +7 more
core   +8 more sources

3D Scene Graph Prediction on Point Clouds Using Knowledge Graphs [PDF]

2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023
accepted at CASE ...
Yiding Qiu, Henrik I. Christensen
core   +6 more sources

Toward Scene Graph and Layout Guided Complex 3D Scene Generation [PDF]

CoRR
13 pages, 12 ...
Yu-Hsiang Huang, Wei Wang, Sheng-Yu Huang, Yu-Chiang Frank Wang   +3 more
core   +5 more sources

3D Scene Diffusion Guidance using Scene Graphs

CoRR, 2023
Guided synthesis of high-quality 3D scenes is a challenging task. Diffusion models have shown promise in generating diverse data, including 3D scenes. However, current methods rely directly on text embeddings for controlling the generation, limiting the incorporation of complex spatial relationships between objects.
Mohammad Naanaa, Katharina Schmid, Yinyu Nie   +2 more
openaire   +3 more sources

ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding [PDF]

CoRR
Scene graphs have been proven to be useful for various scene understanding tasks due to their compact and explicit nature. However, existing approaches often neglect the importance of maintaining the symmetry-preserving property when generating scene graphs from 3D point clouds.
Quang P. M. Pham, Khoi T. N. Nguyen, Lan C. Ngo, Truong Do, Truong Son Hy   +4 more
core   +5 more sources

Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs [PDF]

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
accepted to ICCV ...
Helisa Dhamo, Fabian Manhardt, Nassir Navab, Federico Tombari   +3 more
openaire   +4 more sources

SGAligner: 3D Scene Alignment with Scene Graphs

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Accepted at ICCV ...
Sayan Deb Sarkar, Ondrej Miksik, Marc Pollefeys, Daniel Barath, Iro Armeni   +4 more
openaire   +4 more sources

Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Image synthesis driven by computer graphics achieved recently a remarkable realism, yet synthetic image data generated this way reveals a significant domain gap with respect to real-world data. This is especially true in autonomous driving scenarios, which represent a critical aspect for overcoming utilizing synthetic data for training neural networks.
Artem Savkin, Rachid Ellouze, Nassir Navab, Federico Tombari   +3 more
openaire   +3 more sources

Learning 3D Semantic Scene Graphs with Instance Embeddings [PDF]

International Journal of Computer Vision, 2022
AbstractA 3D scene is more than the geometry and classes of the objects it comprises. An essential aspect beyond object-level perception is the scene context, described as a dense semantic network of interconnected nodes. Scene graphs have become a common representation to encode the semantic richness of images, where nodes in the graph are object ...
Johanna Wald, Nassir Navab, Federico Tombari   +2 more
openaire   +2 more sources

Graph-based interpolation for zooming in 3D scenes [PDF]

2017 25th European Signal Processing Conference (EUSIPCO), 2017
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Pinar Akyazi, Pascal Frossard
openaire   +1 more source