March 25, 2024, 4:45 a.m. | Florian Langer, Jihong Ju, Georgi Dikov, Gerhard Reitmayr, Mohsen Ghafoorian

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.15161v1 Announce Type: new
Abstract: Digitising the 3D world into a clean, CAD model-based representation has important applications for augmented reality and robotics. Current state-of-the-art methods are computationally intensive as they individually encode each detected object and optimise CAD alignments in a second stage. In this work, we propose FastCAD, a real-time method that simultaneously retrieves and aligns CAD models for all objects in a given scene. In contrast to previous works, we directly predict alignment parameters and shape embeddings. …

abstract alignment applications art arxiv augmented reality cad cs.cv current encode object reality real-time representation retrieval robotics scans stage state type videos work world

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