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PerVFI-v1-0
Mulns/PerVFI-v1-0
PerVFI-v1-0 is a machine learning model from Mulns. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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Public
Updated Jun 13, 2024
Repo size
123 MB
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3
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024
- SHA
- c6b94ff2
Model card
From the Hugging Face model README
Perception-Oriented Video Frame Interpolation via Asymmetric Blending
CVPR 2024
This repository represents the official implementation of the paper titled "Perception-Oriented Video Frame Interpolation via Asymmetric Blending", also denoted as "PerVFI".
Guangyang Wu, Xin Tao, Changlin Li, Wenyi Wang, Xiaohong Liu, Qingqing Zheng
We present PerVFI, a novel paradigm for perception-oriented video frame interpolation.
- Asymmetric synergistic blending scheme: reduce blurry and ghosting effects derived from unavoidable motion error.
- Generative model as decoder: reconstruct results sampled from a distribution to resolve temporal supervision misalignment during training.
- Future: network structure can be meticulously optimized to improve efficiency and performance in the future.
Detailed usage of this model can be found in GitHub Repo
- License
- apache-2.0
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024