Results 51 to 60 of about 61,584 (299)
Journal of Imaging, 2018 High dynamic range (HDR) imaging techniques are nowadays widely used in building research to capture luminances in the occupant field of view and investigate visual discomfort.
Coralie Cauwerts, María Beatriz Piderit
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HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion [PDF]
ACM Transactions on Graphics, 2023 Representing human performance at high-fidelity is an essential building block in diverse applications, such as film production, computer games or videoconferencing. To close the gap to production-level quality, we introduce HumanRF1, a 4D dynamic neural
Mustafa Işık +6 more
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Investigation of the effects of sunlight on the surface of the domes of mosques in desert areas [PDF]
کاوشهای جغرافیایی مناطق بیابانی, 2020 The construction of religious buildings in the past would occur by taking into account the comfort and convenience of the building, in the face of harsh climatic conditions of the region.
Tohid Shiri, Kourosh Momeni
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Remote Sensing, 2020 Solar power generation is highly fluctuating due to its dependence on atmospheric conditions. The integration of this variable resource into the energy supply system requires reliable predictions of the expected power production as a basis for management
Sabrina Gentile +10 more
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NeRF2: Neural Radio-Frequency Radiance Fields [PDF]
ACM/IEEE International Conference on Mobile Computing and Networking, 2023 Although Maxwell discovered the physical laws of electromagnetic waves 160 years ago, how to precisely model the propagation of an RF signal in an electrically large and complex environment remains a long-standing problem.
Xiaopeng Zhao +3 more
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Remote Sensing, 2020 Although atmospheric CO2 is a trace gas, it has seasonal variations and has increased over the last decade. Its seasonal variation and increase have substantial radiative effects on hyperspectral infrared (IR) radiance calculations in both longwave (LW ...
Di Di +4 more
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Dense Depth Priors for Neural Radiance Fields from Sparse Input Views [PDF]
Computer Vision and Pattern Recognition, 2021 Neural radiance fields (NeRF) encode a scene into a neural representation that enables photo-realistic rendering of novel views. However, a successful reconstruction from RGB images requires a large number of input views taken under static conditions ...
Barbara Roessle +4 more
semanticscholar +1 more source
SPARF: Neural Radiance Fields from Sparse and Noisy Poses [PDF]
Computer Vision and Pattern Recognition, 2022 Neural Radiance Field (NeRF) has recently emerged as a powerful representation to synthesize photorealistic novel views. While showing impressive performance, it relies on the availability of dense input views with highly accurate camera poses, thus ...
Prune Truong +3 more
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Sensors, 2019 Military infrared (IR) imaging systems utilize one or more IR wavelength-bands, among short wavelength IR (SWIR), middle wavelength IR (MWIR), and long wavelength IR (LWIR) band.
Taewuk Bae, Youngchoon Kim, Sangho Ahn
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DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization [PDF]
Computer Vision and Pattern RecognitionRadiance fields have demonstrated impressive performance in synthesizing novel views from sparse input views, yet prevailing methods suffer from high training costs and slow inference speed. This paper introduces DNGaussian, a depth-regularized framework
Jiahe Li +6 more
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