Results 11 to 20 of about 14,095 (277)
Neural Articulated Radiance Field [PDF]
2021 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
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EfficientNeRF - Efficient Neural Radiance Fields
2022 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
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Surgical neural radiance fields from one image. [PDF]
Int J Comput Assist Radiol SurgPurpose: Neural Radiance Fields (NeRF) offer exceptional capabilities for 3D reconstruction and view synthesis, yet their reliance on extensive multi-view data limits their application in surgical intraoperative settings where only limited data is available.
Neri A +4 more
europepmc +3 more sources
Convolutional Neural Opacity Radiance Fields [PDF]
2021 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
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Instance Neural Radiance Field
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 International Conference on Computer Vision (ICCV ...
Liu, Yichen +4 more
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Nerfies: Deformable Neural Radiance Fields [PDF]
2021 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
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MMNeRF: Multi-Modal and Multi-View Optimized Cross-Scene Neural Radiance Fields
IEEE Access, 2023 We present MMNeRF, a simple yet powerful learning framework for highly photo-realistic novel view synthesis by learning Multi-modal and Multi-view features to guide neural radiance fields to a generic model.
Qi Zhang +3 more
doaj +1 more source
Self-Calibrating Neural Radiance Fields [PDF]
2021 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
Remote Sensing Neural Radiance Fields for Multi-View Satellite Photogrammetry
Remote Sensing, 2023 Neural radiance fields (NeRFs) combining machine learning with differentiable rendering have arisen as one of the most promising approaches for novel view synthesis and depth estimates.
Songlin Xie +3 more
doaj +1 more source
Neural Radiance Field Codebooks
, 2023 19 pages, 8 figures, 9 ...
Wallingford, Matthew +6 more
openaire +2 more sources