NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Framework
We present NNVISR - an open-source filter plugin for the VapourSynth video processing framework, which facilitates the application of neural networks for various kinds of video enhancing tasks, including denoising, super resolution, interpolation, and spatio-temporal super-resolution. NNVISR fills the gap between video enhancement neural networks and video processing pipelines, by accepting any network that enhances a group of frames, and handling all other network agnostic details during video processing. NNVISR is publicly released at https://github.com/tongyuantongyu/vs-NNVISR.
Authors
- Mengshun Hu (ORCID: https://orcid.org/0000-0002-9439-0550)
- Zheng Wang (ORCID: https://orcid.org/0000-0003-3846-9157)
- Tong Yuan
Institutions
- Wuhan University (CN)
Publication Details
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1145/3664647.3685522
- Primary Topic
- Advanced Image Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00