Results 11 to 20 of about 2,209 (160)
Neural Articulated Radiance Field [PDF]
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
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]
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
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
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]
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]
Accepted in ICCV21, Project Page: https://postech-cvlab.github.io/SCNeRF/
Jeong, Yoonwoo +5 more
openaire +3 more sources
Neural Radiance Field Codebooks
19 pages, 8 figures, 9 ...
Wallingford, Matthew +6 more
openaire +2 more sources
Spec-NeRF: Multi-Spectral Neural Radiance Fields
<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
10 pages, 7 ...
Holden, Lachlan +3 more
openaire +2 more sources

