DreamUp3D: object-centric generative models for single-view 3D scene understanding and real-to-sim transfer
3D scene understanding for robotic applications exhibits a unique set of requirements including real-time inference, object-centric latent representation learning, accurate 6D pose estimation and 3D reconstruction of objects. Current methods for scene understanding typically rely on a combination of...
المؤلفون الرئيسيون: | Wu, Y, Sáez de Ocáriz Borde, H, Collins, J, Jones, OP, Posner, I |
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التنسيق: | Journal article |
اللغة: | English |
منشور في: |
IEEE
2024
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مواد مشابهة
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APEX: Unsupervised, object-centric scene segmentation and tracking for robot manipulation
حسب: Wu, Y, وآخرون
منشور في: (2021) -
GENESIS: generative scene inference and sampling of object-centric latent representations
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منشور في: (2020) -
Multi-view fusion-based 3D object detection for robot indoor scene perception
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Multi-View Fusion-Based 3D Object Detection for Robot Indoor Scene Perception
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منشور في: (2019-09-01) -
Scene-conditional 3D object stylization and composition
حسب: Zhou, J, وآخرون
منشور في: (2024)