Results 91 to 100 of about 4,408 (223)

Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method

, 2023
Neural radiance field (NeRF) enables the synthesis of cutting-edge realistic novel view images of a 3D scene. It includes density and color fields to model the shape and radiance of a scene, respectively.
Bo, Liefeng, Fang, Qihang, Li, Keqiang, Song, Yafei   +3 more
core  

Layer3D: A 3D Layered Representation for Multiview Vector Graphics

Computer Graphics Forum, EarlyView.
Abstract We present Layer3D, a novel 3D neural representation that models objects as collections of decomposable neural implicit primitives. These primitives enable the generation of layered images with consistent correspondences across viewpoints, establishing a flexible framework for multiview vector graphics decomposition.
Zhongyue Guan, Yixin Hu, Zeyu Wang
wiley   +1 more source

Lighting up NeRF via Unsupervised Decomposition and Enhancement

, 2023
Neural Radiance Field (NeRF) is a promising approach for synthesizing novel views, given a set of images and the corresponding camera poses of a scene.
Lau, Rynson WH., Wang, Haoyuan, Xu, Ke, Xu, Xiaogang   +3 more
core  

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +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 3D Plant Geometry Reconstruction in Field Conditions

Plant Phenomics
We evaluate different Neural Radiance Field (NeRF) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields.
Muhammad Arbab Arshad, Talukder Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy   +7 more
doaj   +1 more source

WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields

, 2023
Neural Radiance Field (NeRF) has shown impressive performance in novel view synthesis via implicit scene representation. However, it usually suffers from poor scalability as requiring densely sampled images for each new scene.
Lu, Shijian, Shao, Ling, Theobalt, Christian, Xu, Muyu, Yu, Yingchen, Zhan, Fangneng, Zhang, Jiahui, Zhang, Xiaoqin   +7 more
core  

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

ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields

IEEE Access
Recent advances in neural rendering have shown that although computationally expensive and slow for training, implicit compact models can accurately learn a scene’s geometries and view-dependent appearances from multiple views.
Juan Luis Gonzalez Bello, Minh-Quan Viet Bui, Munchurl Kim   +2 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