Results 121 to 130 of about 8,361,437 (204)

F2Plenoxels: fast voxel radiance fields without neural networks for few-shot view synthesis

Journal of King Saud University: Computer and Information Sciences
Radiance field methods, while achieving impressive quality in novel view synthesis, require abundant input views. In the few-shot setting, both Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) are highly susceptible to overfitting to the ...
Jun Peng, Chunyi Chen, Yunbiao Liu
doaj   +1 more source

Multispectral-NeRF: A Multispectral Modeling Approach Based on Neural Radiance Fields

Applied Sciences
3D reconstruction technology generates three-dimensional representations of real-world objects, scenes, or environments using sensor data such as 2D images, with extensive applications in robotics, autonomous vehicles, and virtual reality systems ...
Hong Zhang, Fei Guo, Zihan Xie, Dizhao Yao   +3 more
doaj   +1 more source

Dynamic Appearance Particle Neural Radiance Field [PDF]

Neural Radiance Fields (NeRFs) have shown great potential in modeling 3D scenes. Dynamic NeRFs extend this model by capturing time-varying elements, typically using deformation fields.
Xiang, Y, Prasad, M, Lin, A, Li, J
core   +1 more source

Neural Field-Based Space Target 3D Reconstruction with Predicted Depth Priors

Aerospace
As space technology advances, an increasing number of spacecrafts are being launched into space, making it essential to monitor and maintain satellites to ensure safe and stable operations.
Tao Fu, Yu Zhou, Ying Wang, Jian Liu, Yamin Zhang, Qinglei Kong, Bo Chen   +6 more
doaj   +1 more source

Sat-DN: Implicit Surface Reconstruction From Multiview Satellite Images With Depth and Normal Supervision

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the advancement of satellite imaging technology, acquiring high-resolution multiview satellite imagery has become increasingly accessible, enabling efficient and location-independent ground model reconstruction.
Tianle Liu, Shuangming Zhao, Wanshou Jiang, Bingxuan Guo   +3 more
doaj   +1 more source

NeRF-RE: An Improved Neural Radiance Field Model Based on Object Removal and Efficient Reconstruction

Information
High-quality green gardens can markedly enhance the quality of life and mental well-being of their users. However, health and lifestyle constraints make it difficult for people to enjoy urban gardens, and traditional methods struggle to offer the high ...
Ziyang Li, Yongjian Huai, Qingkuo Meng, Shiquan Dong   +3 more
doaj   +1 more source

Toward Automatic 3D Model Reconstruction of Building Curtain Walls from UAV Images Based on NeRF and Deep Learning

Remote Sensing
The Automated Building Information Modeling (BIM) reconstruction of existing building curtain walls is crucial for promoting digital Operation and Maintenance (O&M).
Zeyu Li, Qian Wang, Hongzhe Yue, Xiang Nie   +3 more
doaj   +1 more source

Dynamic Appearance Particle Neural Radiance Field

, 2023
Neural Radiance Fields (NeRFs) have shown great potential in modelling 3D scenes. Dynamic NeRFs extend this model by capturing time-varying elements, typically using deformation fields.
Li, Jun, Lin, Ancheng
core  

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification

, 2023
Existing approaches to system identification (estimating the physical parameters of an object) from videos assume known object geometries. This precludes their applicability in a vast majority of scenes where object geometries are complex or unknown.
Li, Xuan, Chen, Peter Yichen, Qiao, Yi-Ling, Jiang, Chenfanfu, Gan, Chuang, Lin, Ming, Jatavallabhula, Krishna Murthy   +6 more
core  

Drantal-NeRF: Diffusion-Based Restoration for Anti-aliasing Neural Radiance Field [PDF]

Aliasing artifacts in renderings produced by Neural Radiance Field (NeRF) is a long-standing but complex issue in the field of 3D implicit representation, which arises from a multitude of intricate causes and was mitigated by designing more advanced but ...
Zhang, Kaidong, Yang, Ganlin, Fu, Jingjing, Liu, Dong   +3 more
core   +1 more source