Results 11 to 20 of about 9,013,010 (294)
SceneGPT: A Language Model for 3D Scene Understanding [PDF]
CoRRBuilding models that can understand and reason about 3D scenes is difficult owing to the lack of data sources for 3D supervised training and large-scale training regimes. In this work we ask - How can the knowledge in a pre-trained language model be leveraged for 3D scene understanding without any 3D pre-training.
Chandhok, Shivam
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3D Question Answering for City Scene Understanding [PDF]
Proceedings of the 32nd ACM International Conference on Multimedia3D multimodal question answering (MQA) plays a crucial role in scene understanding by enabling intelligent agents to comprehend their surroundings in 3D environments. While existing research has primarily focused on indoor household tasks and outdoor roadside autonomous driving tasks, there has been limited exploration of city-level scene understanding
Penglei Sun +7 more
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R3DS: Reality-Linked 3D Scenes for Panoramic Scene Understanding [PDF]
We introduce the Reality-linked 3D Scenes (R3DS) dataset of synthetic 3D scenes mirroring the real-world scene arrangements from Matterport3D panoramas. Compared to prior work, R3DS has more complete and densely populated scenes with objects linked to real-world observations in panoramas.
Qirui Wu +4 more
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Monte Carlo Scene Search for 3D Scene Understanding [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 We explore how a general AI algorithm can be used for 3D scene understanding to reduce the need for training data. More exactly, we propose a modification of the Monte Carlo Tree Search (MCTS) algorithm to retrieve objects and room layouts from noisy RGB-D scans.
Hampali, Shreyas +5 more
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3D Point-based Scene Understanding
, 2023 Scene understanding is a foundational aspect of computer vision, aiming to emulate the intricate processes of the human visual system. This involves discerning the myriad of subtle cues embedded within the multifaceted visual environment and subsequently interpreting the visual narratives that unfold around us.
Zhang, Chaoyi
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Language-Assisted 3D Scene Understanding
CoRR, 2023 The scale and quality of point cloud datasets constrain the advancement of point cloud learning. Recently, with the development of multi-modal learning, the incorporation of domain-agnostic prior knowledge from other modalities, such as images and text, to assist in point cloud feature learning has been considered a promising avenue.
Yanmin Wu +3 more
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3D scene understanding from a single image [PDF]
, 2021 The main theme of this thesis is 3D scene understanding from a single image. We start with utilizing k-d trees to partition point clouds to capture both local and global structure, and continue with inferring complete point clouds from a single image via
Zeng, W.
core +5 more sources
Multi-View PointNet for 3D Scene Understanding [PDF]
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 Geometry Meets Deep Learning Workshop, ICCV ...
Maximilian Jaritz +2 more
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Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 The rapid progress in 3D scene understanding has come with growing demand for data; however, collecting and annotating 3D scenes (e.g. point clouds) are notoriously hard. For example, the number of scenes (e.g. indoor rooms) that can be accessed and scanned might be limited; even given sufficient data, acquiring 3D labels (e.g. instance masks) requires
Ji Hou +3 more
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Fine-Grained Categorization for 3D Scene Understanding [PDF]
Procedings of the British Machine Vision Conference 2012, 2012 Fine-grained categorization of object classes is receiving increased attention, since it promises to automate classification tasks that are difficult even for humans, such as the distinction between different animal species. In this paper, we consider fine-grained categorization for a different reason: following the intuition that fine-grained ...
Michael Stark 0003 +6 more
openaire +2 more sources