megvii research nafnet - nafnet free network : 2024-11-01 megvii research nafnetThus, 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 .
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megvii research nafnetInstall Replicate’s Node.js client library. Run megvii-research/nafnet using .megvii-research / nafnet Nonlinear Activation Free Network for Image .megvii research nafnet nafnet free networkNonlinear Activation Free Network for Image Restoration. Public. 1.3M runs. .megvii-research/nafnet:e116b6df – Run with an API on Replicate. Version. e116b6df. .
megvii research nafnetThus, 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 .Nonlinear Activation Free Network for Image Restoration Public; 1.3M runs GitHub; Paper; License; Run with an APIInstall Replicate’s Node.js client library. Run megvii-research/nafnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs. const .megvii research nafnetThis paper proposes a simple baseline named NAFSSR for stereo image super-resolution. We use a stack of NAFNet's Block (NAFBlock) for intra-view feature extraction and .This paper inherits a strong and simple image restoration model, NAFNet, for single-view feature extraction and ex-tends it by adding cross attention modules to fuse features .
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megvii research nafnet