Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations-Reference-Cited by-同舟云学术

Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on 3D Vision (3DV)
language:
Short-container-title:

Author:

Shen Jianxiong,Ruiz Adria,Agudo Antonio,Moreno-Noguer Francesc

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9665713/9665818/09665942.pdf?arnumber=9665942

Reference39 articles.

1. pixelNeRF: Neural radiance fields from one or few images;yu;IEEE Conf Comput Vis Pattern Recog,2021

2. iNeRF: Inverting Neural Radiance Fields for Pose Estimation

3. D-NeRF: Neural radiance fields for dynamic scenes;pumarola;IEEE Conf Comput Vis Pattern Recog,2021

4. Neural Body:Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans;peng;IEEE Conf Comput Vis Pattern Recog,2021

5. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Active Perception using Neural Radiance Fields;2024 American Control Conference (ACC);2024-07-10

2. Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Uncertainty Quantification of Neural Reflectance Fields for Underwater Scenes;Journal of Marine Science and Engineering;2024-02-18