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pro vyhledávání: '"Johari, Mohammad Mahdi"'
We present ESLAM, an efficient implicit neural representation method for Simultaneous Localization and Mapping (SLAM). ESLAM reads RGB-D frames with unknown camera poses in a sequential manner and incrementally reconstructs the scene representation w
Externí odkaz:
http://arxiv.org/abs/2211.11704
We present GeoNeRF, a generalizable photorealistic novel view synthesis method based on neural radiance fields. Our approach consists of two main stages: a geometry reasoner and a renderer. To render a novel view, the geometry reasoner first construc
Externí odkaz:
http://arxiv.org/abs/2111.13539
Publikováno v:
In Neurocomputing 24 September 2020 407:94-104
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
We present DepthInSpace, a self-supervised deep-learning method for depth estimation using a structured-light camera. The design of this method is motivated by the commercial use case of embedded depth sensors in nowadays smartphones. We first propos