Results 31 to 40 of about 8,729,056 (252)
Self-Evolving Neural Radiance Fields
CoRR, 2023 Recently, neural radiance field (NeRF) has shown remarkable performance in novel view synthesis and 3D reconstruction. However, it still requires abundant high-quality images, limiting its applicability in real-world scenarios. To overcome this limitation, recent works have focused on training NeRF only with sparse viewpoints by giving additional ...
Jaewoo Jung +5 more
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Efficient View Synthesis with Neural Radiance Distribution Field [PDF]
, 2023 Recent work on Neural Radiance Fields (NeRF) has demonstrated significant advances in high-quality view synthesis. A major limitation of NeRF is its low rendering efficiency due to the need for multiple network forwardings to render a single pixel ...
Wang, Jinglu +5 more
core +1 more source
NeRFReN: Neural Radiance Fields with Reflections
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Neural Radiance Fields (NeRF) has achieved unprecedented view synthesis quality using coordinate-based neural scene representations. However, NeRF's view dependency can only handle simple reflections like highlights but cannot deal with complex reflections such as those from glass and mirrors.
Yuan-Chen Guo +4 more
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PyNeRF: Pyramidal Neural Radiance Fields
Advances in Neural Information Processing Systems 36, 2023 Neural Radiance Fields (NeRFs) can be dramatically accelerated by spatial grid representations. However, they do not explicitly reason about scale and so introduce aliasing artifacts when reconstructing scenes captured at different camera distances. Mip-NeRF and its extensions propose scale-aware renderers that project volumetric frustums rather than ...
Haithem Turki +3 more
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SegNeRF: 3D Part Segmentation with Neural Radiance Fields [PDF]
, 2022 Recent advances in Neural Radiance Fields (NeRF) boast impressive performances for generative tasks such as novel view synthesis and 3D reconstruction.
Zarzar, Jesus +3 more
core +1 more source
Hallucinated Neural Radiance Fields in the Wild
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted by CVPR 2022. Project website: https://rover-xingyu.github.io/Ha-NeRF/
Xingyu Chen +6 more
openaire +3 more sources
The Radiance Standard RASTA of DLR's calibration facility for airborne imaging spectrometers [PDF]
, 2012 The German Aerospace Center (DLR) operates the Calibation Home Base (CHB) as a facility for the calibration of airborne imaging spectrometers and for field spectrometers.
T. Schwarzmaier +9 more
core +1 more source
CoNeRF: Controllable Neural Radiance Fields
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We extend neural 3D representations to allow for intuitive and interpretable user control beyond novel view rendering (i.e. camera control). We allow the user to annotate which part of the scene one wishes to control with just a small number of mask annotations in the training images. Our key idea is to treat the attributes as latent variables that are
Kacper Kania +4 more
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High-fidelity 3D Reconstruction of Plants using Neural Radiance Field [PDF]
, 2023 Accurate reconstruction of plant phenotypes plays a key role in optimising sustainable farming practices in the field of Precision Agriculture (PA).
Wei, Ying +4 more
core +1 more source
Hyperspectral Neural Radiance Fields
CoRRHyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples. There is growing interest in creating 3D hyperspectral reconstructions, which could provide both spatial and spectral information while also mitigating common HSI challenges such as non-Lambertian surfaces ...
Gerry Chen +6 more
openaire +2 more sources