Results 41 to 50 of about 4,408 (223)
BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields
, 2023 Neural rendering combines ideas from classical computer graphics and machine learning to synthesize images from real-world observations. NeRF, short for Neural Radiance Fields, is a recent innovation that uses AI algorithms to create 3D objects from 2D ...
Rabby, AKM Shahariar Azad +1 more
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Dehazing-NeRF: Neural Radiance Fields from Hazy Images
CoRR, 2023 Neural Radiance Field (NeRF) has received much attention in recent years due to the impressively high quality in 3D scene reconstruction and novel view synthesis. However, image degradation caused by the scattering of atmospheric light and object light by particles in the atmosphere can significantly decrease the reconstruction quality when shooting ...
Tian Li, Lu Li, Wei Wang, Zhangchi Feng
openaire +2 more sources
NeRFlex: Flexible Neural Radiance Fields With Diffeomorphic Deformation
IEEE AccessDue to the vast array of NeRF-based techniques, the representation power of Neural Radiance Fields (NeRF) has been quickly rising in recent years. However, it is still difficult to offer fresh perspectives for user-controlled geometry alterations with ...
Jiyoon Shin, Sangwoo Hong, Jungwoo Lee
doaj +1 more source
Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
, 2023 Recently 3D-aware GAN methods with neural radiance field have developed rapidly. However, current methods model the whole image as an overall neural radiance field, which limits the partial semantic editability of synthetic results. Since NeRF renders an
Dong, Jing +4 more
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Applied SciencesIn the field of multi-view satellite photogrammetry, the neural radiance field (NeRF) method has received widespread attention due to its ability to provide continuous scene representation and realistic rendering effects.
Xin Zhou +5 more
doaj +1 more source
Towards a Robust Framework for NeRF Evaluation
, 2023 Neural Radiance Field (NeRF) research has attracted significant attention recently, with 3D modelling, virtual/augmented reality, and visual effects driving its application.
Anantrasirichai, Nantheera +2 more
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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
doaj +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
HDR-NeRF: High Dynamic Range Neural Radiance Fields
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted to CVPR 2022. Project page: https://xhuangcv.github.io/hdr-nerf/
Xin Huang 0021 +5 more
openaire +2 more sources
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields
, 2022 Neural Radiance Fields (NeRF) have achieved photorealistic novel views synthesis; however, the requirement of accurate camera poses limits its application.
Chen, Xingyu +6 more
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