Unconditional Scene Graph Generation

Author:

Garg Sarthak1,Dhamo Helisa1,Farshad Azade1,Musatian Sabrina1,Navab Nassir1,Tombari Federico1

Affiliation:

1. Technische Universität München

Funder

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Publisher

IEEE

Reference43 articles.

1. Graph R-CNN for Scene Graph Generation;yang;European Conference on Computer Vision (ECCV),2018

2. Scene Graph Generation by Iterative Message Passing

3. A note on the evaluation of generative models;theis,2016

4. Unbiased Scene Graph Generation From Biased Training

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1. Review on scene graph generation methods;Multiagent and Grid Systems;2024-08-12

2. Instance-Incremental Scene Graph Generation From Real-World Point Clouds via Normalizing Flows;IEEE Transactions on Circuits and Systems for Video Technology;2024-02

3. SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

4. Knowledge Informed Sequential Scene Graph Verification Using VQA;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

5. Incremental 3D Semantic Scene Graph Prediction from RGB Sequences;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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