Zobrazeno 1 - 10
of 483
pro vyhledávání: '"novel view synthesis"'
Autor:
Runchuan Ma, Sailing He
Publikováno v:
IEEE Access, Vol 12, Pp 133018-133029 (2024)
The Neural Radiance Field (NeRF) method for datasets is gaining attention for its wide applications and research value. Hyperspectral images have also gained many applications in recent years. This paper proposes a hyperspectral NeRF method based on
Externí odkaz:
https://doaj.org/article/de23eb5a32684d8ba28e44c13670cb26
Publikováno v:
IEEE Access, Vol 12, Pp 96797-96820 (2024)
Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of an object or scene from a set of input images. Learning-based methods have gained attention for their ability to directly estimate 3D shapes. This review pape
Externí odkaz:
https://doaj.org/article/c1cd15f6fb5d40b294064d67743056e4
Publikováno v:
IEEE Access, Vol 12, Pp 45331-45341 (2024)
Hyperspectral data for the 3D domain is relatively difficult to acquire. Existing hyperspectral datasets are unsuitable for 3D research, suffer from issues of severe data scarcity, and a lack of multi-perspective images of the same object, etc. To ad
Externí odkaz:
https://doaj.org/article/ab53f43343a64a7aad38ea2d5a6d688d
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 204-212 (2024)
Many image-based rendering (IBR) methods rely on depth estimates obtained from structured light or time-of-flight depth sensors to synthesize novel views from sparse camera networks. However, these estimates often contain missing or noisy regions, re
Externí odkaz:
https://doaj.org/article/2e1aa1810db0457a829ee68aeb45e168
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11277 (2024)
In recent advancements in novel view synthesis and neural rendering, neural radiance field (NeRF) has emerged as a powerful technique for synthesizing high-quality novel views of complex 3D scenes. However, the computational and storage demands of Ne
Externí odkaz:
https://doaj.org/article/c65ca1eb53b042949176e48200d4ae4b
Publikováno v:
Sensors, Vol 24, Iss 17, p 5798 (2024)
The accurate reconstruction of indoor environments is crucial for applications in augmented reality, virtual reality, and robotics. However, existing indoor datasets are often limited in scale, lack ground truth point clouds, and provide insufficient
Externí odkaz:
https://doaj.org/article/8dc7cc4cde12418f8b373d9b3ac8fb66
Publikováno v:
Symmetry, Vol 16, Iss 8, p 1010 (2024)
Representing and rendering dynamic underwater scenes present significant challenges due to the medium’s inherent properties, which result in image blurring and information ambiguity. To overcome these challenges and accomplish real-time rendering o
Externí odkaz:
https://doaj.org/article/9282a02c676d4ee58d9874956cc6297c
Publikováno v:
In Pattern Recognition May 2025 161
Publikováno v:
Computational Visual Media, Vol 9, Iss 4, Pp 767-786 (2023)
Abstract Novel viewpoint image synthesis is very challenging, especially from sparse views, due to large changes in viewpoint and occlusion. Existing image-based methods fail to generate reasonable results for invisible regions, while geometry-based
Externí odkaz:
https://doaj.org/article/75595f0ce8e0462792114819b869c932
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2327 (2024)
Since Neural Radiation Field (NeRF) was first proposed, a large number of studies dedicated to them have emerged. These fields achieved very good results in their respective contexts, but they are not sufficiently practical for our project. If we wan
Externí odkaz:
https://doaj.org/article/84904404b7e24e79957a3bcbb6d7b8c0