Results 31 to 40 of about 3,165,496 (285)
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
MarkNerf:Watermarking for Neural Radiance Field
CoRR, 2023 A watermarking algorithm is proposed in this paper to address the copyright protection issue of implicit 3D models. The algorithm involves embedding watermarks into the images in the training set through an embedding network, and subsequently utilizing the NeRF model for 3D modeling.
Lifeng Chen +5 more
openaire +3 more sources
Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis
, 2023 We present CG-NeRF, a cascade and generalizable neural radiance fields method for view synthesis. Recent generalizing view synthesis methods can render high-quality novel views using a set of nearby input views. However, the rendering speed is still slow
Rahtu, Esa +4 more
core +2 more sources
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning [PDF]
, 2023 As previous representations for reinforcement learning cannot effectively incorporate a human-intuitive understanding of the 3D environment, they usually suffer from sub-optimal performances.
Lee, Seungjae +2 more
core +1 more source
Deformable Neural Radiance Fields using RGB and Event Cameras [PDF]
, 2023 Modeling Neural Radiance Fields for fast-moving deformable objects from visual data alone is a challenging problem. A major issue arises due to the high deformation and low acquisition rates.
Ma, Qi +3 more
core +1 more source
ShinyNeRF: Digitizing Anisotropic Appearance in Neural Radiance Fields [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesRecent advances in digitization technologies have transformed the preservation and dissemination of cultural heritage. In this vein, Neural Radiance Fields (NeRF) have emerged as a leading technology for 3D digitization, delivering representations with ...
A. Barreiro +5 more
doaj +1 more source
Global Structure-From-Motion Enhanced Neural Radiance Fields 3D Reconstruction [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesUrban three-dimensional modeling involves digitizing geographical elements such as urban ground and architecture, profoundly impacting urban management, planning, and development.
T. Ye, H. Huang, Y. Liu, J. Yang
doaj +1 more source
nerf2nerf: Pairwise Registration of Neural Radiance Fields [PDF]
, 2022 We introduce a technique for pairwise registration of neural fields that extends classical optimization-based local registration (i.e. ICP) to operate on Neural Radiance Fields (NeRF) -- neural 3D scene representations trained from collections of ...
Sabour, Sara +4 more
core +1 more source