From c2c0bb5dc84d0bc1a71a19bcc78c3ae7bcb3ef3d Mon Sep 17 00:00:00 2001 From: Chen Liangyu <chenliangyux@gmail.com> Date: Wed, 20 Apr 2022 00:36:27 +0800 Subject: [PATCH] Update readme.md --- readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/readme.md b/readme.md index c1f7429..0a7a6e6 100644 --- a/readme.md +++ b/readme.md @@ -11,7 +11,7 @@ The official pytorch implementation of the paper **[Simple Baselines for Image R >In this paper, we propose a simple baseline that exceeds the SOTA methods and is computationally efficient. >To further simplify the baseline, we reveal that the nonlinear activation functions, e.g. Sigmoid, ReLU, GELU, Softmax, etc. are **not necessary**: they could be replaced by multiplication or removed. Thus, we derive a Nonlinear Activation Free Network, namely NAFNet, from the baseline. SOTA results are achieved on various challenging benchmarks, e.g. 33.69 dB PSNR on GoPro (for image deblurring), exceeding the previous SOTA 0.38 dB with only 8.4% of its computational costs; 40.30 dB PSNR on SIDD (for image denoising), exceeding the previous SOTA 0.28 dB with less than half of its computational costs. -| <img src="./figures/denoise.gif" height=256 width=256 alt="NAFNet For Image Denoise"> | <img src="./figures/deblur.gif" height="256" alt="NAFNet For Image Deblur"> | <img src="./figures/StereoSR.gif" height="256" alt="NAFSSR For Stereo Image Super Resolution"> | +| <img src="./figures/denoise.gif" height=224 alt="NAFNet For Image Denoise"> | <img src="./figures/deblur.gif" height=224 alt="NAFNet For Image Deblur"> | <img src="./figures/StereoSR.gif" height=224 alt="NAFSSR For Stereo Image Super Resolution"> | | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | | Denoise | Deblur | StereoSR([NAFSSR](https://github.com/megvii-research/NAFNet/blob/main/docs/StereoSR.md)) |