Results 211 to 220 of about 24,246 (264)

Neural radiance fields assisted by image features for UAV scene reconstruction. [PDF]

Sci Rep
Chen Z, Chen X, Ye C, Wu S, Wu X.
europepmc   +1 more source

Generative AI in Medicine and Healthcare: A Comprehensive Review of Foundational Technologies, Clinical Applications, and Future Perspectives. [PDF]

Juntendo Med J
Nakamura T, Uchida W, Yamamoto A, Aoki S.   +3 more
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Empirical analysis of adversarial robustness in 3D Gaussian Splatting under multi-view inconsistency attacks. [PDF]

Sci Rep
Kwon H, Baek JW.
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Three-Dimensional Reconstruction and Real-Time Deformation of Flexible Bodies: A Scoping Review (2009-2025). [PDF]

Sensors (Basel)
Zisu S, Butnariu S.
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[Idiopathic intracranial hypertension at the Niamey General Reference Hospital (Niger): a series of eight cases]. [PDF]

Med Trop Sante Int
Mamadou Z, Mahamadou-Ango S, Toudou-Daouda M, Daouda Bako I, Attaher M, Sidibe H, Abdou-Bacharou A, Soumana F, Adehossi É.   +8 more
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3D reconstruction of toys based on adaptive scaled neural radiation field. [PDF]

PeerJ Comput Sci
Zou J, Liu S, Wang F, Ni W, Ye S.
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Task-oriented visual SLAM: a comprehensive map classification framework for dynamic indoor robot manipulation. [PDF]

Sci Rep
Shen X, Pan M, Liang K.
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Improvements in NeRF

Journal of the Japan society of photogrammetry and remote sensing
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Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

IEEE International Conference on Computer Vision, 2023
Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF’s learned mapping from spatial coordinates to colors and volumetric density.
J. Barron, B. Mildenhall, Dor Verbin, P. Srinivasan, Peter Hedman   +4 more
semanticscholar   +1 more source

AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene

AAAI Conference on Artificial Intelligence
Compared to frame-based methods, computational neuromorphic imaging using event cameras offers significant advantages, such as minimal motion blur, enhanced temporal resolution, and high dynamic range. The multi-view consistency of Neural Radiance Fields
Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian   +6 more
semanticscholar   +1 more source