Exploiting Depth Priors for Few-Shot Neural Radiance Field Reconstruction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3460411
Abstract: The performance of neural radiance field technologies deteriorates rapidly when sparse views are used as input. In this paper, we propose a simulated viewpoint enhancement for surface reconstruction that extracts diverse geometric features from the… read more here.
Keywords: radiance field; neural radiance; reconstruction; geometry ... See more keywords
Representing Boundary-Ambiguous Scene Online With Scale-Encoded Cascaded Grids and Radiance Field Deblurring
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3300170
Abstract: Implicit scene representations have recently shown promising results in photo-realistic 3D reconstruction and view synthesis based on calibrated views. However, their applications face several challenges, including unknown camera pose, boundary ambiguity, and observation noise. This… read more here.
Keywords: scale encoded; scene; radiance field; cascaded grids ... See more keywords
SatensoRF: Fast Satellite Tensorial Radiance Field for Multidate Satellite Imagery of Large Size
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3382632
Abstract: Existing neural radiance field (NeRF) models for satellite imagery have limitations in processing large images and require solar input, leading to slow speeds. As a response, we introduce SatensoRF, which speeds up the entire process… read more here.
Keywords: radiance field; field; satellite imagery; satensorf ... See more keywords
PA-NeRF, a neural radiance field model for 3D photoacoustic tomography reconstruction from limited Bscan data
Sign Up to like & getrecommendations! Published in 2024 at "Biomedical Optics Express"
DOI: 10.1364/boe.511807
Abstract: We introduce a novel deep-learning-based photoacoustic tomography method called Photoacoustic Tomography Neural Radiance Field (PA-NeRF) for reconstructing 3D volumetric PAT images from limited 2D Bscan data. In conventional 3D volumetric imaging, a 3D reconstruction requires… read more here.
Keywords: radiance field; reconstruction; photoacoustic tomography; neural radiance ... See more keywords
Evaluating Radiance Field-Inspired Methods for 3D Indoor Reconstruction: A Comparative Analysis
Sign Up to like & getrecommendations! Published in 2025 at "Buildings"
DOI: 10.3390/buildings15060848
Abstract: An efficient and robust solution for 3D indoor reconstruction is crucial for various managerial operations in the Architecture, Engineering, and Construction (AEC) sector, such as indoor asset tracking and facility management. Conventional approaches, primarily relying… read more here.
Keywords: radiance field; inspired methods; reconstruction; indoor reconstruction ... See more keywords