Adaptive Recurrent Frame Prediction with Learnable Motion Vectors-Reference-Cited by-同舟云学术

Adaptive Recurrent Frame Prediction with Learnable Motion Vectors

Published:2023-12-10 Issue: Volume: Page:
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Container-title:SIGGRAPH Asia 2023 Conference Papers
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Author:

Wu Zhizhen¹^ORCID,Zuo Chenyu²^ORCID,Huo Yuchi³^ORCID,Yuan Yazhen⁴^ORCID,Peng Yifan⁵^ORCID,Pu Guiyang⁶^ORCID,Wang Rui¹^ORCID,Bao Hujun¹^ORCID

Affiliation:

1. State Key Lab of CAD&CG, Zhejiang University, China

2. State Key Lab of CAD&CG, State Key Laboratory of CAD & CG, Zhejiang University, China

3. State Key Lab of CAD&CG, Zhejiang University, China and Zhejiang Lab, China

4. Tencent, China

5. The University of Hong Kong, China

6. China Mobile (Hangzhou) Information Technology Co., Ltd, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610548.3618211

Reference45 articles.

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2. Depth-Aware Video Frame Interpolation

3. Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang. 2019b. Memc-net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement. IEEE transactions on pattern analysis and machine intelligence 43, 3 (2019), 933–948.

4. Neural frame interpolation for rendered content

5. Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder

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