Results 11 to 20 of about 90,374 (275)
Scene flow based deep network for hand reconstruction using depth images [PDF]
Scientific ReportsAccurate 3D hand reconstruction remains a challenging computer vision problem with numerous applications. Existing approaches predominantly focus on single-frame hand reconstruction, thereby neglecting crucial temporal information essential for stable ...
Adnan Anwer +7 more
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FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding
CoRRSemantic querying in complex 3D scenes through free-form language presents a significant challenge. Existing 3D scene understanding methods use large-scale training data and CLIP to align text queries with 3D semantic features. However, their reliance on
Chenlu Zhan, Gaoang Wang, Hongwei Wang
semanticscholar +3 more sources
Toward Scene Graph and Layout Guided Complex 3D Scene Generation
CoRRRecent advancements in object-centric text-to-3D generation have shown impressive results. However, generating complex 3D scenes remains an open challenge due to the intricate relations between objects.
Yu-Hsiang Huang +3 more
semanticscholar +3 more sources
Graph Canvas for Controllable 3D Scene Generation
Proceedings of the 33rd ACM International Conference on MultimediaSpatial intelligence is fundamental to AI systems that interact with the physical world, particularly in 3D scene generation and spatial comprehension.
Libin Liu +7 more
semanticscholar +5 more sources
Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization [PDF]
Robotics: Science and Systems Conference, 2022 3D scene graphs have recently emerged as a powerful high-level representation of 3D environments. A 3D scene graph describes the environment as a layered graph where nodes represent spatial concepts at multiple levels of abstraction and edges represent ...
Nathan Hughes, Yun Chang, L. Carlone
semanticscholar +1 more source
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 +3 more
openaire +2 more sources
SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences [PDF]
Computer Vision and Pattern Recognition, 2021 Scene graphs are a compact and explicit representation successfully used in a variety of 2D scene understanding tasks. This work proposes a method to incrementally build up semantic scene graphs from a 3D environment given a sequence of RGB-D frames.
Shun-cheng Wu +4 more
semanticscholar +1 more source
SGAligner: 3D Scene Alignment with Scene Graphs
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Accepted at ICCV ...
Sayan Deb Sarkar +4 more
openaire +2 more sources
A DISTRIBUTED BUNDLE ADJUSTMENT METHOD USING ITERATIVE MOTION AVERAGING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 With the wide use of UAVs in urban scenes making image acquisition easier, processing large-scale 3D reconstruction problems have become a basic need of the Structure from Motion (SfM) community.
L. Wu, T. Xiao, H. Li, F. Deng
doaj +1 more source
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 +2 more
openaire +2 more sources