MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos-Reference-Cited by-同舟云学术

MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos

Published:2023-10-01 Issue: Volume:31 Page:17857-17867
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Tian Fengrui¹,Du Shaoyi¹,Duan Yueqi²

Affiliation:

1. Xi’an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics

2. Tsinghua University,Department of Electronic Engineering

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377375.pdf?arnumber=10377375

Reference55 articles.

1. Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation

2. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

3. pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

4. MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo

5. Neural ordinary differential equations;Chen;NeurIPS,2018

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