Results 11 to 20 of about 8,359,557 (286)
Instance Neural Radiance Field [PDF]
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 This paper presents one of the first learning-based NeRF 3D instance segmentation pipelines, dubbed as Instance Neural Radiance Field, or Instance NeRF.
Liu, Yichen +4 more
core +6 more sources
Fast 3D Reconstruction of UAV Images Based on Neural Radiance Field
Applied 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 +2 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.
Bergman, Alexander W. (author) +5 more
core +6 more sources
Neural Radiance Field Codebooks
CoRR, 2023 Compositional representations of the world are a promising step towards enabling high-level scene understanding and efficient transfer to downstream tasks. Learning such representations for complex scenes and tasks remains an open challenge. Towards this
Mottaghi, Roozbeh +6 more
core +4 more sources
Multi-Space Neural Radiance Fields
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Existing Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single radiance field, we propose a multi-space neural radiance field (MS-NeRF ...
Yin, Ze-Xin +3 more
core +2 more sources
Rugularizing generalizable neural radiance field with limited-view images
Complex & Intelligent SystemsWe present a novel learning model with attention and prior guidance for view synthesis. In contrast to previous works that focus on optimizing for specific scenes with densely captured views, our model explores a generic deep neural framework to ...
Wei Sun +4 more
doaj +2 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
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
Federated Neural Radiance Fields
CoRR, 2023 10 pages, 7 ...
Lachlan Holden +3 more
openaire +3 more sources