Results 41 to 50 of about 8,361,437 (204)
Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields [PDF]
, 2022 We present Loc-NeRF, a real-time vision-based robot localization approach that combines Monte Carlo localization and Neural Radiance Fields (NeRF). Our system uses a pre-trained NeRF model as the map of an environment and can localize itself in real-time
Mario, Courtney +4 more
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BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Neural Radiance Fields (NeRF) have received considerable attention recently, due to its impressive capability in photo-realistic 3D reconstruction and novel view synthesis, given a set of posed camera images. Earlier work usually assumes the input images are of good quality. However, image degradation (e.g.
Peng Wang 0141 +3 more
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Nation Scale NeRF Reconstruction [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesNeural Radiance Field (NeRF) rendering methodologies provide 3D reconstructions which better represent features and characteristics common to built heritage, which are otherwise poorly represented by traditional structure from motion reconstruction and ...
A. Mai +5 more
doaj +1 more source
NeRF--: Neural Radiance Fields Without Known Camera Parameters
CoRR, 2021 Project page see https://nerfmm.active.vision.
Zirui Wang +4 more
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Neural Radiance Field-Inspired Depth Map Refinement for Accurate Multi-View Stereo
Journal of ImagingIn this paper, we propose a method to refine the depth maps obtained by Multi-View Stereo (MVS) through iterative optimization of the Neural Radiance Field (NeRF).
Shintaro Ito +3 more
doaj +1 more source
NeRF-QA: Neural Radiance Fields Quality Assessment Database
2023 15th International Conference on Quality of Multimedia Experience (QoMEX), 2023 This short paper proposes a new database - NeRF-QA - containing 48 videos synthesized with seven NeRF based methods, along with their perceived quality scores, resulting from subjective assessment tests; for the videos selection, both real and synthetic, 360 degrees scenes were considered.
Pedro Martin +3 more
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Embracing Radiance Field Rendering in 6G: Over-the-Air Training and Inference With 3-D Contents
IEEE Open Journal of the Communications SocietyThe efficient representation, transmission, and reconstruction of three-dimensional (3D) contents are becoming increasingly important for sixth-generation (6G) networks that aim to merge virtual and physical worlds for offering immersive communication ...
Guanlin Wu +3 more
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EGENEFACE: HIGH QUALITY GENERALIZED TALKING FACE SYNTHESIZING ENABLED BY AUDIO [PDF]
Proceedings on Engineering SciencesA critical issue in virtual reality and filmmaking is the generation of photo-realistic video portraits from random spoken recordings. The use of neural radiance fields is to enhance 3D realism and image authenticity has been the subject of several ...
Nilam Thakkar +2 more
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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
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NeRF-Loc: Visual Localization with Conditional Neural Radiance Field
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 We propose a novel visual re-localization method based on direct matching between the implicit 3D descriptors and the 2D image with transformer. A conditional neural radiance field(NeRF) is chosen as the 3D scene representation in our pipeline, which supports continuous 3D descriptors generation and neural rendering.
Jianlin Liu +3 more
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