CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion [PDF]
, 2023 Controllable scene synthesis aims to create interactive environments for various industrial use cases. Scene graphs provide a highly suitable interface to facilitate these applications by abstracting the scene context in a compact manner.
Wu, Shun-Cheng +6 more
core +1 more source
3D Scene Segmentation for Autonomous Robot Grasping [PDF]
, 2012 Ückermann A, Elbrechter C, Haschke R, Ritter H. 3D Scene Segmentation for Autonomous Robot Grasping. Presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), Algarve, Portugal.We present an algorithm to segment an
Ückermann, André +7 more
core +1 more source
A novel factor graph-based optimization technique for stereo correspondence estimation
Scientific Reports, 2022 Dense disparities among multiple views are essential for estimating the 3D architecture of a scene based on the geometrical relationship between the scene and the views or cameras.
Hanieh Shabanian +1 more
doaj +1 more source
A Cluster-Based 3D Reconstruction System for Large-Scale Scenes
Sensors, 2023 The reconstruction of realistic large-scale 3D scene models using aerial images or videos has significant applications in smart cities, surveying and mapping, the military and other fields.
Yao Li, Yue Qi, Chen Wang, Yongtang Bao
doaj +1 more source
Planner3D:LLM-enhanced Graph Prior Meets 3D Indoor Scene Explicit Regularization [PDF]
Compositional 3D scene synthesis has diverse applications across a spectrum of industries such as robotics, films, and video games, as it closely mirrors the complexity of real-world multi-object environments.
Vosselman, George +8 more
core +4 more sources
GACM: A Graph Attention Capsule Model for the Registration of TLS Point Clouds in the Urban Scene
Remote Sensing, 2021 Point cloud registration is the foundation and key step for many vital applications, such as digital city, autonomous driving, passive positioning, and navigation.
Jianjun Zou +7 more
doaj +1 more source
Explore Contextual Information for 3D Scene Graph Generation
IEEE Transactions on Visualization and Computer Graphics, 2023 3D scene graph generation (SGG) has been of high interest in computer vision. Although the accuracy of 3D SGG on coarse classification and single relation label has been gradually improved, the performance of existing works is still far from being perfect for fine-grained and multi-label situations. In this paper, we propose a framework fully exploring
Yuanyuan Liu +6 more
openaire +4 more sources
Sequential Manipulation Planning on Scene Graph [PDF]
, 2022 We devise a 3D scene graph representation, contact graph+ (cg+), for efficient sequential task planning. Augmented with predicate-like attributes, this contact graph-based representation abstracts scene layouts with succinct geometric information and ...
Zhu, Song-Chun +5 more
core +1 more source
KNA-SG: Keyframe–Node-Associated Open-Vocabulary 3D Scene Graphs from RGB Sequences
Technologies3D scene graphs organize objects and their relationships in a scene into structured representations, providing an interpretable and queryable foundation for relational reasoning and object grounding.
Yangbin Xu +4 more
doaj +1 more source
Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds
International Journal of Applied Earth Observations and Geoinformation, 2021 Due to the advantages of 3D point clouds over 2D optical images, the related researches on scene understanding in 3D point clouds have been increasingly attracting wide attention from academy and industry.
Huan Luo +6 more
doaj +1 more source