A Unified Pyramid Recurrent Network for Video Frame Interpolation
Author:
Affiliation:
1. R&D Center, Samsung Electronics (China)
2. Samsung Electronics,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203458.pdf?arnumber=10203458
Reference38 articles.
1. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
2. RAFT: Recurrent all-pairs field transforms for optical flow;teed;In ECCV,2020
3. Lite-Flow Net: A lightweight convolutional neural network for optical flow estimation;hui;In CVPR,2018
4. PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
5. Enhanced bi-directional motion estimation for video frame interpolation;jin;ArXiv Preprint,2022
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3. EMCFN: Edge-based Multi-scale Cross Fusion Network for video frame interpolation;Journal of Visual Communication and Image Representation;2024-08
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