WaveMixSR: Resource-efficient neural network for image super-resolution

P Jeevan, A Srinidhi, P Prathiba… - Proceedings of the …, 2024 - openaccess.thecvf.com
Image super-resolution research recently has been dominated by transformer models which
need higher computational resources than CNNs due to the quadratic complexity of self …
被引用次数：5 相关文章

WaveMixSR: Resource-efficient Neural Network for Image Super-resolution

P Jeevan, A Srinidhi, P Prathiba… - 2024 IEEE/CVF Winter …, 2024 - computer.org
Image super-resolution research recently has been dominated by transformer models which
need higher computational resources than CNNs due to the quadratic complexity of self …

[引用][C] WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution

P Jeevan - pranavphoenix.github.io
WaveMixSR is a new neural network for image super-resolution that uses the WaveMix
architecture, which is based on a 2D-discrete wavelet transform for spatial token-mixing, and …

WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution

P Jeevan, A Srinidhi, P Prathiba, A Sethi - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Image super-resolution research recently been dominated by transformer models which
need higher computational resources than CNNs due to the quadratic complexity of self …

WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution

P Jeevan, A Srinidhi, P Prathiba, A Sethi - arXiv preprint arXiv:2307.00430, 2023 - arxiv.org
Image super-resolution research recently been dominated by transformer models which
need higher computational resources than CNNs due to the quadratic complexity of self …

WaveMixSR: Resource-efficient Neural Network for Image Super-resolution

P Jeevan, A Srinidhi, P Prathiba… - 2024 IEEE/CVF Winter …, 2024 - ieeexplore.ieee.org
Image super-resolution research recently has been dominated by transformer models which
need higher computational resources than CNNs due to the quadratic complexity of self …