Results 41 to 50 of about 3,165,496 (285)
UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields
, 2023 Neural Radiance Field (NeRF) has enabled novel view synthesis with high fidelity given images and camera poses.Subsequent works even succeeded in eliminating the necessity of pose priors by jointly optimizing NeRF and camera pose.However, these works are
Choi, Minhyuk +2 more
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Neural Radiance Fields for High-Resolution Remote Sensing Novel View Synthesis
Remote Sensing, 2023 Remote sensing images play a crucial role in remote sensing target detection and 3D remote sensing modeling, and the enhancement of resolution holds significant application implications.
Junwei Lv +4 more
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Appearance Enhancement and Semantic Segmentation-based Neural Radiance Fields [PDF]
Jisuanji kexueThe accelerated advancement of deep learning has notably propelled 3D reconstruction techniques within the field of computer vision.NeRFs have become an essential methodology due to their adeptness at scene modeling and superior view synthesis.However ...
CAO Mingwei, HUANG Baolong, ZHAO Haifeng
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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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NEURAL RADIANCE FIELDS (NERF): REVIEW AND POTENTIAL APPLICATIONS TO DIGITAL CULTURAL HERITAGE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Neural Radiance Fields (NeRF or NeRFs) are to date emerging as a novel method for synthesizing novel views of complex 3D scenes, leveraging an artificial neural network to optimize a volumetric scene function using a set of input views.
V. Croce +4 more
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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
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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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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
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Generating stereo images using neural radiance fields [PDF]
, 2022 Stereo matching is one of the core technologies in computer vision, which aims to recover 3D structures of real world from 2D images. Deep stereo networks are one of the best methods to achieve good correspondences between images in stereo pairs. While
Kolodiazhna, O. O., Uss, M. L.
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Neural Radiance Fields with Hash-Low-Rank Decomposition
Applied SciencesIn recent advancements in novel view synthesis and neural rendering, neural radiance field (NeRF) has emerged as a powerful technique for synthesizing high-quality novel views of complex 3D scenes.
Jiaxin Wang +3 more
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