Results 111 to 120 of about 8,361,437 (204)

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields [PDF]

, 2023
We introduce a new task, novel view synthesis for LiDAR sensors. While traditional model-based LiDAR simulators with style-transfer neural networks can be applied to render novel views, they fall short of producing accurate and realistic LiDAR patterns ...
Salzmann, Mathieu, Tao, Tang, Lao, Yixing, Chen, Peng, Gao, Longfei, Wang, Guangrun, Liang, Xiaodan, Zhao, Hengshuang, Yu, Kaicheng, Hao, Dayang   +9 more
core  

EpiC-NeRF: Epistemic Uncertainty-Guided Neural Radiance Fields for Sparse-View CT Reconstruction

Mathematics
Sparse-view computed tomography (CT) reconstruction aims to recover high-quality CT volumes from a limited number of X-ray projection images, thereby reducing radiation exposure during image acquisition.
Donghyuk Choo, Haill An, Younhyun Jung
doaj   +1 more source

VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field

source code https://github.com/feixue94/vrs ...
Fei Xue, Ignas Budvytis, Daniel Olmeda Reino, Roberto Cipolla   +3 more
openaire   +2 more sources

IE-NeRF: Inpainting Enhanced Neural Radiance Fields in the Wild

CoRR
We present a novel approach for synthesizing realistic novel views using Neural Radiance Fields (NeRF) with uncontrolled photos in the wild. While NeRF has shown impressive results in controlled settings, it struggles with transient objects commonly found in dynamic and time-varying scenes.
Shuaixian Wang, Haoran Xu 0004, Yaokun Li, Jiwei Chen, Guang Tan   +4 more
openaire   +3 more sources

DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors

, 2023
Neural Radiance Field (NeRF) has exhibited outstanding three-dimensional (3D) reconstruction quality via the novel view synthesis from multi-view images and paired calibrated camera parameters.
Lee, Minhyeok, Lee, Sangyoun, Lee, Dogyoon, Shin, Chajin   +3 more
core  

The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence
16 pages, accepted by ...
Ziyuan Luo, Anderson Rocha 0001, Boxin Shi, Qing Guo 0005, Haoliang Li, Renjie Wan   +5 more
openaire   +4 more sources

Real-time facial reconstruction and expression replacement based on neural radiation field

Systems and Soft Computing
It is now possible to do high-fidelity 3D facial reconstruction and unique view synthesis thanks to the recent discovery of Neural Radiance Fields (NeRF), which has established its substantial importance in the field of 3D vision.
Shenning Zhang, Hui Li, Xuefeng Tian
doaj   +1 more source

NeRF-Texture: Texture Synthesis with Neural Radiance Fields

Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings, 2023
Yihua Huang 0002, Yan-Pei Cao, Yu-Kun Lai, Ying Shan, Lin Gao 0004   +4 more
openaire   +2 more sources

Neural Radiance Fields for Fisheye Driving Scenes Using Edge-Aware Integrated Depth Supervision

Sensors
Neural radiance fields (NeRF) have become an effective method for encoding scenes into neural representations, allowing for the synthesis of photorealistic views of unseen views from given input images.
Jiho Choi, Sang Jun Lee
doaj   +1 more source

Rugularizing generalizable neural radiance field with limited-view images

Complex & Intelligent Systems
We present a novel learning model with attention and prior guidance for view synthesis. In contrast to previous works that focus on optimizing for specific scenes with densely captured views, our model explores a generic deep neural framework to ...
Wei Sun, Ruijia Cui, Qianzhou Wang, Xianguang Kong, Yanning Zhang   +4 more
doaj   +1 more source