Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alliegro, Antonio"'
Human comprehension of a video stream is naturally broad: in a few instants, we are able to understand what is happening, the relevance and relationship of objects, and forecast what will follow in the near future, everything all at once. We believe
Externí odkaz:
http://arxiv.org/abs/2403.03037
We introduce PolyDiff, the first diffusion-based approach capable of directly generating realistic and diverse 3D polygonal meshes. In contrast to methods that use alternate 3D shape representations (e.g. implicit representations), our approach is a
Externí odkaz:
http://arxiv.org/abs/2312.11417
Moving deep learning models from the laboratory setting to the open world entails preparing them to handle unforeseen conditions. In several applications the occurrence of novel classes during deployment poses a significant threat, thus it is crucial
Externí odkaz:
http://arxiv.org/abs/2310.03388
In recent years there has been significant progress in the field of 3D learning on classification, detection and segmentation problems. The vast majority of the existing studies focus on canonical closed-set conditions, neglecting the intrinsic open
Externí odkaz:
http://arxiv.org/abs/2207.11554
The ability to grasp objects is an essential skill that enables many robotic manipulation tasks. Recent works have studied point cloud-based methods for object grasping by starting from simulated datasets and have shown promising performance in real-
Externí odkaz:
http://arxiv.org/abs/2203.05585
In this paper, we present a deep learning model that exploits the power of self-supervision to perform 3D point cloud completion, estimating the missing part and a context region around it. Local and global information are encoded in a combined embed
Externí odkaz:
http://arxiv.org/abs/2103.16671
Point cloud processing and 3D shape understanding are very challenging tasks for which deep learning techniques have demonstrated great potentials. Still further progresses are essential to allow artificial intelligent agents to interact with the rea
Externí odkaz:
http://arxiv.org/abs/2004.07392
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