Results 131 to 140 of about 4,408 (223)
NeRFs: The Search for the Best 3D Representation
, 2023 Neural Radiance Fields or NeRFs have become the representation of choice for problems in view synthesis or image-based rendering, as well as in many other applications across computer graphics and vision, and beyond.
Ramamoorthi, Ravi
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Spike-NeRF: Neural Radiance Field Based On Spike Camera
2024 IEEE International Conference on Multimedia and Expo (ICME)As a neuromorphic sensor with high temporal resolution, spike cameras offer notable advantages over traditional cameras in high-speed vision applications such as high-speed optical estimation, depth estimation, and object tracking. Inspired by the success of the spike camera, we proposed Spike-NeRF, the first Neural Radiance Field derived from spike ...
Yijia Guo +6 more
openaire +2 more sources
Remote SensingThe Automated Building Information Modeling (BIM) reconstruction of existing building curtain walls is crucial for promoting digital Operation and Maintenance (O&M).
Zeyu Li +3 more
doaj +1 more source
Remote SensingThe loop closure detection (LCD) methods in Unmanned Aerial Vehicle (UAV) Visual Inertial Navigation System (VINS) are often affected by issues such as insufficient image texture information and limited observational perspectives, resulting in ...
Xiaoyue Zhang +4 more
doaj +1 more source
Drantal-NeRF: Diffusion-Based Restoration for Anti-aliasing Neural Radiance Field
Aliasing artifacts in renderings produced by Neural Radiance Field (NeRF) is a long-standing but complex issue in the field of 3D implicit representation, which arises from a multitude of intricate causes and was mitigated by designing more advanced but ...
Fu, Jingjing +3 more
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GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
, 2023 Neural Radiance Fields (NeRF) have shown impressive novel view synthesis results; nonetheless, even thorough recordings yield imperfections in reconstructions, for instance due to poorly observed areas or minor lighting changes.
Bulò, Samuel Rota +5 more
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NeRF-Based Large-Scale Urban True Digital Orthophoto Map Generation Method
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn urban scenes, there are man-made ground objects with complex structures and significant height differences, which leads to challenges in generating large-scale true digital orthophoto maps (TDOMs) of cities.
Jiaxin Wei, Guobin Zhu, Xiliang Chen
doaj +1 more source
Instance Neural Radiance Field
, 2023 This paper presents one of the first learning-based NeRF 3D instance segmentation pipelines, dubbed as Instance Neural Radiance Field, or Instance NeRF.
Hu, Benran +4 more
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DWT-3DRec: DeepJSCC-based wireless transmission for efficient 3D scene reconstruction using CityNeRF
Digital Communications and NetworksThe Unmanned Aerial Vehicle (UAV)-assisted sensing–transmission–computing integrated system plays a vital role in emergency rescue scenarios involving damaged infrastructure. To tackle the challenges of data transmission and enable timely rescue decision-
Shuang Cao +4 more
doaj +1 more source
Exploring Accurate 3D Phenotyping in Greenhouse through Neural Radiance Fields
Accurate collection of plant phenotyping is critical to optimising sustainable farming practices in precision agriculture. Traditional phenotyping in controlled laboratory environments, while valuable, falls short in understanding plant growth under real-
Chen, Chao +6 more
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