SNeRV decomposes frames with wavelet transforms, embeds only low-frequency content, and regenerates high-frequency details, outperforming prior NeRV models on reconstruction and interpolation.
In: Proceedings of the IEEE conference on Image Processing (2023)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SNeRV: Spectra-preserving Neural Representation for Video
SNeRV decomposes frames with wavelet transforms, embeds only low-frequency content, and regenerates high-frequency details, outperforming prior NeRV models on reconstruction and interpolation.