Mar 7, 2024 · This study offers a comprehensive examination of the latest advancements in deep learning methodologies. We examine many benchmark models for ...
In this paper, we provide a comprehensive overview of recent advances in deep-learning-based 3D object reconstruction, registration, and augmentation as a ...
This study offers a comprehensive examination of the latest advancements in deep learning methodologies. We examine many benchmark models for the tasks of 3D ...
Sep 15, 2022 · This work shows mainstream 3D model retrieval algorithm programs based on deep learning currently developed remotely, and further subdivides ...
Sep 15, 2022 · For contour-based 3D floor plan retrieval algorithms, this paper focuses on lateral empire retrieval and twinning of 2D sketches and 3D models ...
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May 31, 2022 · This is the first review with a focus on object model generation based on the DL methods and EO data. A brief overview of the recent building ...
This work shows mainstream 3D model retrieval algorithm programs based on deep learning currently developed remotely, and further subdivides their advantages ...
Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper ... deep neural network for 3D object shape reconstruction from a single ...
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In this paper, we provide a comprehensive survey of deep learning based 3D reconstruction. We review extensive methods in the last decade and cate- gorize ...
Mar 9, 2021 · This paper fills the gap and provides a comprehensive survey of the recent progress made in deep learning based 3D segmentation. It covers over ...