Results 71 to 80 of about 2,209 (160)
Multispectral-NeRF: A Multispectral Modeling Approach Based on Neural Radiance Fields
Applied Sciences3D reconstruction technology generates three-dimensional representations of real-world objects, scenes, or environments using sensor data such as 2D images, with extensive applications in robotics, autonomous vehicles, and virtual reality systems ...
Hong Zhang +3 more
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Neural Radiance Fields for Fisheye Driving Scenes Using Edge-Aware Integrated Depth Supervision
SensorsNeural radiance fields (NeRF) have become an effective method for encoding scenes into neural representations, allowing for the synthesis of photorealistic views of unseen views from given input images.
Jiho Choi, Sang Jun Lee
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InformationHigh-quality green gardens can markedly enhance the quality of life and mental well-being of their users. However, health and lifestyle constraints make it difficult for people to enjoy urban gardens, and traditional methods struggle to offer the high ...
Ziyang Li +3 more
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Active Perception using Neural Radiance Fields
2024 American Control Conference (ACC)We study active perception from first principles to argue that an autonomous agent performing active perception should maximize the mutual information that past observations posses about future ones. Doing so requires (a) a representation of the scene that summarizes past observations and the ability to update this representation to incorporate new ...
He, Siming +4 more
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BRDF-NeRF: Neural radiance fields with optical satellite images and BRDF modelling
International Journal of Applied Earth Observations and GeoinformationNeural radiance fields (NeRF) have gained prominence as a machine learning technique for representing 3D scenes and estimating the bidirectional reflectance distribution function (BRDF) from multiple images. However, most existing research has focused on
Lulin Zhang +4 more
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IVAH: Invisible-Region Augmented Human Rendering From Monocular Images
IEEE AccessMost neural radiance field (NeRF)-based human rendering methods rely on per-subject optimization or multi-view data input to reconstruct the 3D radiance field of human subjects.
Do Yeop Kim, Ju Yong Chang
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Remote SensingNovel view synthesis using neural radiance fields (NeRFs) for remote sensing images is important for various applications. Traditional methods often use implicit representations for modeling, which have slow rendering speeds and cannot directly obtain ...
Li Li +7 more
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Depth Priors in Removal Neural Radiance Fields
17 ...
Guo, Zhihao, Wang, Peng
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Instant Photorealistic Neural Radiance Fields Stylization
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)We present Instant Neural Radiance Fields Stylization, a novel approach for multi-view image stylization for the 3D scene. Our approach models a neural radiance field based on neural graphics primitives, which use a hash table-based position encoder for position embedding. We split the position encoder into two parts, the content and style sub-branches,
Li, Shaoxu, Pan, Ye
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An Improved NeRF-Based Method for Augmenting, Registering, and Fusing Visible and Infrared Images
PhotonicsMultimodal image fusion is an efficient information integration technique, with infrared and visible light image fusion playing a critical role in tasks such as object detection and recognition.
Yuanxin Shang +5 more
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