Results 81 to 90 of about 24,246 (264)

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

NeRF-XL: Scaling NeRFs with Multiple GPUs

We present NeRF-XL, a principled method for distributing Neural Radiance Fields (NeRFs) across multiple GPUs, thus enabling the training and rendering of NeRFs with an arbitrarily large capacity. We begin by revisiting existing multi-GPU approaches, which decompose large scenes into multiple independently trained NeRFs, and identify several fundamental
Ruilong Li, Sanja Fidler, Angjoo Kanazawa, Francis Williams   +3 more
openaire   +3 more sources

RotGS: Rotation‐Guided 3D Gaussian Splatting for Turntable Sequences without Structure‐from‐Motion

Computer Graphics Forum, EarlyView.
Abstract The field of 3D reconstruction from multi‐view images has advanced rapidly thanks to 3D Gaussian Splatting (3DGS), which enables efficient and photorealistic scene representation. However, optimizing 3DGS requires high‐quality images from various viewpoints with accurate camera poses.
Kyumin Kim, Dohae Lee, Hanul Baek, In‐Kwon Lee   +3 more
wiley   +1 more source

MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table [PDF]

, 2023
Neural radiance field (NeRF) has shown remarkable performance in generating photo-realistic novel views. Among recent NeRF related research, the approaches that involve the utilization of explicit structures like grids to manage features achieve ...
Lee, Yongjae, Fan, Deliang, Yang, Li
core   +1 more source

IW-NeRF: Using Implicit Watermarks to Protect the Copyright of Neural Radiation Fields

Applied Sciences
The neural radiance field (NeRF) has demonstrated significant advancements in computer vision. However, the training process for NeRF models necessitates extensive computational resources and ample training data.
Lifeng Chen, Chaoyue Song, Jia Liu, Wenquan Sun, Weina Dong, Fuqiang Di   +5 more
doaj   +1 more source

3D Character Reconstruction from Hand‐drawn Model Sheets

Computer Graphics Forum, EarlyView.
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon, Wonjong Jang, Yoonha Hwang, Seungyong Lee   +3 more
wiley   +1 more source

NeRFs in robotics: A survey

The International Journal of Robotics Research
Detailed and realistic 3D environment representations have been a long-standing goal in the fields of computer vision and robotics. The recent emergence of neural implicit representations has introduced significant advances to these domains, enabling numerous novel capabilities.
Guangming Wang 0001, Lei Pan, Songyou Peng, Shaohui Liu, Chenfeng Xu, Yanzi Miao, Wei Zhan, Masayoshi Tomizuka, Marc Pollefeys, Hesheng Wang 0001   +9 more
openaire   +2 more sources

RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models [PDF]

, 2023
The emergence of Neural Radiance Fields (NeRF) has promoted the development of synthesized high-fidelity views of the intricate real world. However, it is still a very demanding task to repaint the content in NeRF.
Zhou, Xingchen, He, Ying, Li, Jianqiang, Li, You, Yu, F. Richard   +4 more
core   +1 more source

Shading and Geometric Constraint Neural Radiance Field for DSM Reconstruction from Multi-View Satellite Images

Remote Sensing
With the continued development of spatial information technologies, Digital Surface Models (DSMs) have become fundamental data products for urban planning, virtual reality, geographic information systems, and digital-earth applications.
Zhihua Hu, Zhiwen Chen, Yushun Li, Yuxuan Liu, Kao Zhang, Chenguang Zhao, Yongxian Zhang   +6 more
doaj   +1 more source

NeRF 3D Reconstruction Method Based on Cone Tracking and Network Decomposition [PDF]

Jisuanji gongcheng
In computer vision, Neural Radiance Fields (NeRF) define processes that use spatial coordinates or other dimensions, such as time and camera pose, as input and simulate the objective function through a Multi-Layer Perceptron (MLP) network to generate the
JING Weipeng, WANG Yuanfeng, LI Chao
doaj   +1 more source