Results 61 to 70 of about 4,408 (223)

Estimating Neural Reflectance Field from Radiance Field using Tree Structures

, 2022
We present a new method for estimating the Neural Reflectance Field (NReF) of an object from a set of posed multi-view images under unknown lighting.
Li, Xiao, Li, Xiu, Lu, Yan
core  

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

Deblur-NeRF: Neural Radiance Fields from Blurry Images

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Neural Radiance Field (NeRF) has gained considerable attention recently for 3D scene reconstruction and novel view synthesis due to its remarkable synthesis quality. However, image blurriness caused by defocus or motion, which often occurs when capturing scenes in the wild, significantly degrades its reconstruction quality.
Li Ma, Xiaoyu Li 0002, Jing Liao 0001, Qi Zhang 0029, Xuan Wang 0009, Jue Wang 0001, Pedro V. Sander   +6 more
openaire   +2 more sources

Improving 3D Object Detection in Neural Radiance Fields With Channel Attention

CAAI Transactions on Intelligence Technology
In recent years, 3D object detection using neural radiance fields (NeRF) has advanced significantly, yet challenges remain in effectively utilising the density field.
Minling Zhu, Yadong Gong, Dongbing Gu, Chunwei Tian   +3 more
doaj   +1 more source

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

Open-NeRF: Towards Open Vocabulary NeRF Decomposition

, 2023
In this paper, we address the challenge of decomposing Neural Radiance Fields (NeRF) into objects from an open vocabulary, a critical task for object manipulation in 3D reconstruction and view synthesis.
Ahuja, Narendra, Li, Fang, Zhang, Hao
core  

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

Is-NeRF: In-scattering Neural Radiance Field for Blurred Images

CoRR
Neural Radiance Fields (NeRF) has gained significant attention for its prominent implicit 3D representation and realistic novel view synthesis capabilities. Available works unexceptionally employ straight-line volume rendering, which struggles to handle sophisticated lightpath scenarios and introduces geometric ambiguities during training, particularly
Nan Luo, Chenglin Ye, Jiaxu Li, Gang Liu, Bo Wan, Di Wang, Lupeng Liu, Jun Xiao   +7 more
openaire   +2 more sources

4D Facial Avatar Reconstruction From Monocular Video via Efficient and Controllable Neural Radiance Fields

IEEE Access
We present an efficient approach for monocular 4D facial avatar reconstruction using a dynamic neural radiance field (NeRF). Over the years, NeRFs have been popular methods for 3D scene representation, but lack computational efficiency and controllabilty,
Jeong-Gi Kwak, Hanseok Ko
doaj   +1 more source

Circular SAR Incoherent 3D Imaging with a NeRF-Inspired Method

Remote Sensing, 2023
Circular synthetic aperture radar (CSAR) has the potential to form 3D images with single-pass single-channel radar data, which is very time-efficient.
Hanqing Zhang, Yun Lin, Fei Teng, Shanshan Feng, Bing Yang, Wen Hong   +5 more
doaj   +1 more source