Results 31 to 40 of about 8,359,557 (286)
MoFaNeRF: Morphable Facial Neural Radiance Field [PDF]
, 2022 We propose a parametric model that maps free-view images into a vector space of coded facial shape, expression and appearance with a neural radiance field, namely Morphable Facial NeRF.
Zhuang, Yiyu +3 more
core +1 more source
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
openaire +3 more sources
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
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
NeRFUS: neural radiance fields with uncertainty and semantics [PDF]
PeerJ Computer ScienceIn recent years, significant progress has been made in the differentiable representation of three-dimensional scenes using neural radiance fields (NeRFs). These models can effectively synthesize novel views containing color information or semantic masks;
Egor Zubkov +2 more
doaj +2 more sources
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
openaire +3 more sources
Sky-NeRF: Learning 4D Cloud Topography in a Dynamic Neural Radiance Field [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesWe present Sky-NeRF, a novel method for cloud topography estimation based on Dynamic Neural Radiance Fields. Similar to NeRF, we propose to model the 3D structure of clouds as a radiance field, encoded in the parameters of a neural representation.
T. Terrisse +3 more
doaj +1 more source
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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Acceleration Approach for Neural Radiance Field in Dynamic 3D Human Reconstruction [PDF]
Jisuanji gongchengThis study proposes a novel acceleration method for the Neural Radiance Field (NeRF) in dynamic 3D human reconstruction to address the challenges of low training efficiency and high computational complexity in volume rendering.
XIAO Yilong, DENG Yiqin, CHEN Zhigang
doaj +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