Results 11 to 20 of about 8,729,056 (252)
Instance Neural Radiance Field [PDF]
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 International Conference on Computer Vision (ICCV ...
Benran Hu 0001 +4 more
core +5 more sources
Generative Neural Articulated Radiance Fields
Advances in Neural Information Processing Systems 35, 2022 Unsupervised learning of 3D-aware generative adversarial networks (GANs) using only collections of single-view 2D photographs has very recently made much progress. These 3D GANs, however, have not been demonstrated for human bodies and the generated radiance fields of existing frameworks are not directly editable, limiting their applicability in ...
Bergman, Alexander W. (author) +5 more
openaire +6 more sources
Neural Radiance Field Codebooks
CoRR, 2023 19 pages, 8 figures, 9 ...
Matthew Wallingford +6 more
openaire +4 more sources
CamP: Camera Preconditioning for Neural Radiance Fields
ACM Transactions on Graphics, 2023 Neural Radiance Fields (NeRF) can be optimized to obtain high-fidelity 3D scene reconstructions of objects and large-scale scenes. However, NeRFs require accurate camera parameters as input --- inaccurate camera parameters result in blurry renderings.
Philipp Henzler, Ricardo Martin-Brualla
exaly +3 more sources
Multi-channel volume density neural radiance field for hyperspectral imaging. [PDF]
Sci RepHyperspectral imaging and Neural Radiance Field (NeRF) can be combined in powerful ways. With limited hyperspectral images, NeRF can generate images of objects with spectral information from arbitrary viewpoints, which can effectively mitigate defects ...
Ma R, He S.
europepmc +2 more sources
Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field [PDF]
, 2023 Recently 3D-aware GAN methods with neural radiance field have developed rapidly. However, current methods model the whole image as an overall neural radiance field, which limits the partial semantic editability of synthetic results. Since NeRF renders an
Tan, Tieniu +4 more
core +3 more sources
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 ...
Atsuhiro Noguchi +3 more
openaire +2 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 ...
Haimin Luo +6 more
openaire +4 more sources
Federated Neural Radiance Fields
CoRR, 2023 10 pages, 7 ...
Lachlan Holden +3 more
openaire +3 more sources
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.
Tao Hu 0011 +4 more
openaire +3 more sources