wwhio / megmodels

models for megengine

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megmodels

Models for megengine

Models

The Correspondence:

path name in code paper title
dncnn dncnn_25 Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
n2n n2n_gauss25, n2n_gauss5to50, n2n_poisson30, n2n_poisson5to50 Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
nts attention_net Learning to Navigate for Fine-grained Classification
esrgan rrdb_psnr, rrdb_esrgan ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
rcan rcan_x2, rcan_x3, rcan_x4 Image Super-Resolution Using Very Deep Residual Channel Attention Networks
csd csd_edsr_mix, csd_edsr_student Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
rdn rdn_x2, rdn_x3, rdn_x4 Residual Dense Network for Image Super-Resolution

Pretrained pytorch models:

Thanks

Thanks to the following authors for generously making their code available.

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models for megengine


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