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   Articles with "radiance fields" as a keyword



MBS-NeRF: reconstruction of sharp neural radiance fields from motion-blurred sparse images

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-88614-z

Abstract: The recent advance in Neural Radiance Fields (NeRF), which utilizes Multilayer Perceptrons (MLP) for implicit scene representation, enables the synthesis of realistic views from new perspectives. However, degradation in the quantity and quality of input… read more here.

Keywords: neural radiance; mbs nerf; radiance fields; motion ... See more keywords

High-fidelity wheat plant reconstruction using 3D Gaussian splatting and neural radiance fields

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recommendations! Published in 2025 at "GigaScience"

DOI: 10.1093/gigascience/giaf022

Abstract: Abstract Background The reconstruction of 3-dimensional (3D) plant models can offer advantages over traditional 2-dimensional approaches by more accurately capturing the complex structure and characteristics of different crops. Conventional 3D reconstruction techniques often produce sparse… read more here.

Keywords: plant; gaussian splatting; view synthesis; reconstruction ... See more keywords

SonoNERFs: Neural Radiance Fields Applied to Biological Echolocation Systems Allow 3D Scene Reconstruction through Perceptual Prediction

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recommendations! Published in 2024 at "Biomimetics"

DOI: 10.1101/2024.04.20.590416

Abstract: In this paper, we introduce SonoNERFs, a novel approach that adapts Neural Radiance Fields (NeRFs) to model and understand the echolocation process in bats, focusing on the challenges posed by acoustic data interpretation without phase… read more here.

Keywords: biological echolocation; neural radiance; model; radiance fields ... See more keywords

Novel View Synthesis of Defocused Blur Scenes Based on Neural Radiance Fields

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3574881

Abstract: In recent years, neural radiance fields have been widely used in the field of computer graphics due to their excellent reconstruction quality. However, the shooting process in the wild environment is often affected by various… read more here.

Keywords: defocused blur; radiance; neural radiance; blur scenes ... See more keywords

E-NeRF: Neural Radiance Fields From a Moving Event Camera

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2023.3240646

Abstract: Estimating neural radiance fields (NeRFs) from “ideal” images has been extensively studied in the computer vision community. Most approaches assume optimal illumination and slow camera motion. These assumptions are often violated in robotic applications, where… read more here.

Keywords: moving event; neural radiance; camera; event ... See more keywords

Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices

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recommendations! Published in 2024 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2024.3460419

Abstract: We introduce Fact-Hash, a novel parameter-encoding method for training on-device neural radiance fields. Neural Radiance Fields (NeRF) have proven pivotal in 3D representations, but their applications are limited due to large computational resources. On-device training… read more here.

Keywords: hash; neural radiance; fact hash; radiance fields ... See more keywords

Underwater Downwelling Radiance Fields Enable Three-Dimensional Attitude and Heading Determination

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recommendations! Published in 2024 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2023.3286901

Abstract: Underwater autonomous navigation has long been a challenging problem due to the scarcity of information sources. The polarization navigation offers a feasible solution to this problem. The existing polarization navigation schemes, however, require that the… read more here.

Keywords: navigation; attitude; downwelling radiance; underwater downwelling ... See more keywords

Lambertian-TRF: Lambertian Tensorial Radiance Fields for Underwater 3-D Reconstruction Using Imaging Sonar

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3566802

Abstract: In this article, we propose Lambertian tensor radiance field (Lambertian-TRF), a novel approach for fast dense 3-D reconstruction of underwater objects using multibeam imaging sonar (MIS). Due to the sonar’s large vertical aperture, the intensity… read more here.

Keywords: lambertian trf; radiance; reconstruction; radiance fields ... See more keywords

Fast Learning Radiance Fields by Shooting Much Fewer Rays

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recommendations! Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3267049

Abstract: Learning radiance fields has shown remarkable results for novel view synthesis. The learning procedure usually costs lots of time, which motivates the latest methods to speed up the learning procedure by learning without neural networks… read more here.

Keywords: shooting much; fields based; radiance; based methods ... See more keywords

Zero-Shot Text-Driven Dynamic Neural Radiance Fields Stylization

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recommendations! Published in 2025 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2025.3565983

Abstract: Text-driven style transfer for Neural Radiance Fields (NeRFs) is an emerging research topic that leverages text descriptions instead of reference style images to apply style transfer. However, existing methods for stylizing NeRFs predominantly struggle to… read more here.

Keywords: text driven; style; zero shot; neural radiance ... See more keywords

EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points

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recommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2024.3366148

Abstract: Neural radiance fields (NeRF) achieve highly photo-realistic novel-view synthesis, but it's a challenging problem to edit the scenes modeled by NeRF-based methods, especially for dynamic scenes. We propose editable neural radiance fields that enable end-users… read more here.

Keywords: neural radiance; radiance fields; key points; dynamic scenes ... See more keywords