Zobrazeno 1 - 10
of 14 257
pro vyhledávání: '"Object reconstruction"'
View transformation robustness (VTR) is critical for deep-learning-based multi-view 3D object reconstruction models, which indicates the methods' stability under inputs with various view transformations. However, existing research seldom focused on v
Externí odkaz:
http://arxiv.org/abs/2412.11428
Jointly estimating hand and object shape ensures the success of the robot grasp in human-to-robot handovers. However, relying on hand-crafted prior knowledge about the geometric structure of the object fails when generalising to unseen objects, and d
Externí odkaz:
http://arxiv.org/abs/2412.07487
Autor:
Giudici, Gabriele, Bonzini, Aramis Augusto, Coppola, Claudio, Althoefer, Kaspar, Farkhatdinov, Ildar, Jamone, Lorenzo
Dexterous robotic manipulator teleoperation is widely used in many applications, either where it is convenient to keep the human inside the control loop, or to train advanced robot agents. So far, this technology has been used in combination with cam
Externí odkaz:
http://arxiv.org/abs/2412.02644
Generating 3D models from multi-view 2D RGB images has gained significant attention, extending the capabilities of technologies like Virtual Reality, Robotic Vision, and human-machine interaction. In this paper, we introduce a hybrid strategy combini
Externí odkaz:
http://arxiv.org/abs/2412.00731
Electroencephalography (EEG)-based visual perception reconstruction has become an important area of research. Neuroscientific studies indicate that humans can decode imagined 3D objects by perceiving or imagining various visual information, such as c
Externí odkaz:
http://arxiv.org/abs/2410.20981
This paper presents DynORecon, a Dynamic Object Reconstruction system that leverages the information provided by Dynamic SLAM to simultaneously generate a volumetric map of observed moving entities while estimating free space to support navigation. B
Externí odkaz:
http://arxiv.org/abs/2409.19928
Estimating the poses of both a hand and an object has become an important area of research due to the growing need for advanced vision computing. The primary challenge involves understanding and reconstructing how hands and objects interact, such as
Externí odkaz:
http://arxiv.org/abs/2409.17629
Open-world 3D generation has recently attracted considerable attention. While many single-image-to-3D methods have yielded visually appealing outcomes, they often lack sufficient controllability and tend to produce hallucinated regions that may not a
Externí odkaz:
http://arxiv.org/abs/2408.10195
Recent works in hand-object reconstruction mainly focus on the single-view and dense multi-view settings. On the one hand, single-view methods can leverage learned shape priors to generalise to unseen objects but are prone to inaccuracies due to occl
Externí odkaz:
http://arxiv.org/abs/2405.01353
Learning the prior knowledge of the 3D human-object spatial relation is crucial for reconstructing human-object interaction from images and understanding how humans interact with objects in 3D space. Previous works learn this prior from datasets coll
Externí odkaz:
http://arxiv.org/abs/2407.20566