Results 101 to 110 of about 8,361,437 (204)

UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields

2025 IEEE/CVF International Conference on Computer Vision (ICCV)
Neural Radiance Field (NeRF)-based segmentation methods focus on object semantics and rely solely on RGB data, lacking intrinsic material properties. This limitation restricts accurate material perception, which is crucial for robotics, augmented reality, simulation, and other applications.
Fabian Perez, Sara Rojas 0001, Carlos Hinojosa, Hoover Rueda-Chacón, Bernard Ghanem   +4 more
openaire   +2 more sources

Ortho-3DGS: True Digital Orthophoto Generation From Unmanned Aerial Vehicle Imagery Using the Depth-Regulated 3D Gaussian Splatting

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
True digital orthophoto maps (DOMs) are vital spatial data sources due to their high precision, detail, and accessibility. However, traditional generation methods using image differential correction with DEM/DSM often produce significant distortions from
Junxing Yang, Zhenglong Cai, Tianjiao Wang, Tong Ye, Haoran Gao, He Huang   +5 more
doaj   +1 more source

Challenges and Capabilities of 3DGS in Detecting Tiny Details for Cultural Heritage [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
3D reality-based techniques are well-known in Cultural Heritage documentation and exploitation. Recently, Neural radiance Field (NeRF) and 3D Gaussian Splatting (3DGS) have been arose as a possible new technique for 3D modelling reality, if not even ...
S. Gonizzi Barsanti, E. Elefante
doaj   +1 more source

Obtaining full‐arch implant scan with smartphone video and deep learning: An in vitro investigation on trueness and precision

Journal of Prosthodontics, EarlyView.
Abstract Purpose To investigate the accuracy of complete‐arch implant scans generated by a smartphone camera and a deep learning model. Materials and Methods A deep learning model was trained to generate 3D scans from smartphone videos using a maxillary edentulous model with 6 implants and scan bodies (SBs).
Junying Li, Zhaozhao Chen, Fei Liu, Berna Saglik, Gustavo Mendonca, Hom‐Lay Wang   +5 more
wiley   +1 more source

Evaluating Neural Radiance Fields for ADA-Compliant Sidewalk Assessments: A Comparative Study with LiDAR and Manual Methods

Infrastructures
An accurate assessment of sidewalk conditions is critical for ensuring compliance with the Americans with Disabilities Act (ADA), particularly to safeguard mobility for wheelchair users.
Hang Du, Shuaizhou Wang, Linlin Zhang, Mark Amo-Boateng, Yaw Adu-Gyamfi   +4 more
doaj   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

NeRF-Art: Text-Driven Neural Radiance Fields Stylization

IEEE Transactions on Visualization and Computer Graphics
As a powerful representation of 3D scenes, the neural radiance field (NeRF) enables high-quality novel view synthesis from multi-view images. Stylizing NeRF, however, remains challenging, especially on simulating a text-guided style with both the appearance and the geometry altered simultaneously.
Can Wang 0007, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen 0001, Jing Liao 0001   +5 more
openaire   +4 more sources

AI Real‐Time Compositing Algorithm for Film and Television Special Effects Based on Latent Space Diffusion Model

Engineering Reports, Volume 8, Issue 9, September 2026.
The proposed latent diffusion compositing framework achieves high‐quality, temporally coherent, and efficient real‐time video compositing for practical AI‐driven visual effects applications. ABSTRACT Artificial intelligence–driven visual effects have become increasingly important in film and television production; however, achieving high‐quality real ...
Bowen An, Yue Xie, Yalun Lei
wiley   +1 more source

IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields [PDF]

Neural Radiance Field (NeRF) represents a significant advancement in computer vision, offering implicit neural network-based scene representation and novel view synthesis capabilities.
Guo, Zhongwen, Jiang, Wenxiang, Zhang, Hanwei, Zhao, Shuo, Wang, Hao   +4 more
core   +1 more source

A two-stage fine-tuning strategy for 3D object segmentation from multi-view images

Smart Agricultural Technology
Neural Radiance Fields (NeRF) have been widely adopted for reconstructing high-quality 3D scenes from 2D RGB images. However, achieving accurate 3D object segmentation within these reconstructed scenes remains challenging.
Jiangsan Zhao, Jakob Geipel, Krzysztof Kusnierek, Xuean Cui   +3 more
doaj   +1 more source