Results 11 to 20 of about 2,209 (160)

Neural Articulated Radiance Field [PDF]

open access: yes2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
We present Neural Articulated Radiance Field (NARF), a novel deformable 3D representation for articulated objects learned from images. While recent advances in 3D implicit representation have made it possible to learn models of complex objects, learning pose-controllable representations of articulated objects remains a challenge, as current methods ...
Noguchi, Atsuhiro   +3 more
openaire   +2 more sources

EfficientNeRF - Efficient Neural Radiance Fields

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Neural Radiance Fields (NeRF) has been wildly applied to various tasks for its high-quality representation of 3D scenes. It takes long per-scene training time and per-image testing time. In this paper, we present EfficientNeRF as an efficient NeRF-based method to represent 3D scene and synthesize novel-view images.
Hu, Tao   +4 more
openaire   +2 more sources

Convolutional Neural Opacity Radiance Fields [PDF]

open access: yes2021 IEEE International Conference on Computational Photography (ICCP), 2021
Photo-realistic modeling and rendering of fuzzy objects with complex opacity are critical for numerous immersive VR/AR applications, but it suffers from strong view-dependent brightness, color. In this paper, we propose a novel scheme to generate opacity radiance fields with a convolutional neural renderer for fuzzy objects, which is the first to ...
Luo, Haimin   +6 more
openaire   +2 more sources

Instance Neural Radiance Field

open access: yes2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
International Conference on Computer Vision (ICCV ...
Liu, Yichen   +4 more
openaire   +2 more sources

Fast 3D Reconstruction of UAV Images Based on Neural Radiance Field

open access: yesApplied Sciences, 2023
Traditional methods for 3D reconstruction of unmanned aerial vehicle (UAV) images often rely on classical multi-view 3D reconstruction techniques. This classical approach involves a sequential process encompassing feature extraction, matching, depth ...
Cancheng Jiang, Hua Shao
doaj   +1 more source

Nerfies: Deformable Neural Radiance Fields [PDF]

open access: yes2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
We present the first method capable of photorealistically reconstructing deformable scenes using photos/videos captured casually from mobile phones. Our approach augments neural radiance fields (NeRF) by optimizing an additional continuous volumetric deformation field that warps each observed point into a canonical 5D NeRF.
Park, Keunhong   +6 more
openaire   +2 more sources

Self-Calibrating Neural Radiance Fields [PDF]

open access: yes2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Accepted in ICCV21, Project Page: https://postech-cvlab.github.io/SCNeRF/
Jeong, Yoonwoo   +5 more
openaire   +3 more sources

Neural Radiance Field Codebooks

open access: yes, 2023
19 pages, 8 figures, 9 ...
Wallingford, Matthew   +6 more
openaire   +2 more sources

Spec-NeRF: Multi-Spectral Neural Radiance Fields

open access: yesICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
<p>Spec-NeRF jointly optimizes the degradation parameters and achieves high-quality multi-spectral image reconstruction results at novel views, which only requires a low-cost camera (like a phone camera but in RAW mode) and several off-the-shelf color filters. We also provide real scenarios and synthetic datasets for related studies.
Jinhui Xiang   +4 more
openaire   +2 more sources

Federated Neural Radiance Fields

open access: yes, 2023
10 pages, 7 ...
Holden, Lachlan   +3 more
openaire   +2 more sources

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