DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos-Reference-Cited by-同舟云学术

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DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Zhao Qi¹,Asif M. Salman²,Ma Zhan¹

Affiliation:

1. Nanjing University

2. University of California Riverside

Funder

National Key Research and Development Project of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203584.pdf?arnumber=10203584

Reference58 articles.

1. Improving the gating mechanism of recurrent neural networks;gu;Proceedings of the 37th International Conference on Machine Learning ICML 2020,0

2. Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

3. SqueezeNext: Hardware-Aware Neural Network Design

4. A Bi-Directional Message Passing Model for Salient Object Detection

5. FVC: A New Framework towards Deep Video Compression in Feature Space

Cited by 2 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. Quality Scalable Video Coding Based on Neural Representation;Lecture Notes in Computer Science;2024

2. Implicit Neural Representation in Medical Imaging: A Comparative Survey;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

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