├── .gitattributes ├── LICENSE ├── README.md ├── cnn_ours_eval.m ├── cnn_reside_s1_eval.m ├── cnn_reside_s2_eval.m ├── contrib └── autonn │ ├── Contents.m │ ├── README.md │ ├── doc │ ├── COPYING │ ├── TUTORIAL.md │ ├── diagnostics.png │ └── graph.png │ ├── examples │ ├── cnn │ │ ├── cnn_imagenet_autonn.m │ │ ├── cnn_imagenet_init_autonn.m │ │ ├── cnn_mnist_autonn.m │ │ └── cnn_toy_data_autonn.m │ ├── minimal │ │ ├── minimal_lstm.m │ │ ├── minimal_network.m │ │ └── minimal_regression.m │ └── rnn │ │ └── rnn_lstm_shakespeare.m │ ├── matlab │ ├── @Layer │ │ ├── Layer.m │ │ ├── create.m │ │ ├── deepCopy.m │ │ ├── display.m │ │ ├── displayCustom.m │ │ ├── eq.m │ │ ├── evalOutputSize.m │ │ ├── find.m │ │ ├── fromCompiledNet.m │ │ ├── fromDagNN.m │ │ ├── fromFunction.m │ │ ├── methods.txt │ │ ├── optimizeGraph.m │ │ ├── plotPDF.m │ │ ├── sequentialNames.m │ │ ├── vl_nnbnorm.m │ │ ├── vl_nnconv.m │ │ ├── vl_nnconvt.m │ │ ├── vl_nndropout.m │ │ └── workspaceNames.m │ ├── @Net │ │ ├── Net.m │ │ ├── compile.m │ │ ├── displayVars.m │ │ ├── eval.m │ │ ├── getVarsInfo.m │ │ ├── optimizeVars.m │ │ ├── plotDiagnostics.m │ │ └── setParameterServer.m │ ├── Input.m │ ├── Param.m │ ├── Selector.m │ ├── Var.m │ ├── cnn_train_autonn.m │ ├── derivatives │ │ ├── autonn_der.m │ │ ├── bsxfun_der.m │ │ ├── cat_der.m │ │ ├── max_der.m │ │ ├── min_der.m │ │ ├── repmat_der.m │ │ ├── root_der.m │ │ └── slice_der.m │ ├── dynamic_subplot.m │ ├── vl_argparsepos.m │ ├── vl_nnaffinegrid.m │ ├── vl_nnlstm.m │ ├── vl_nnlstm_params.m │ ├── vl_nnmask.m │ ├── vl_nnwsum.m │ ├── wrappers │ │ ├── gpuArray_wrapper.m │ │ ├── root.m │ │ ├── slice_wrapper.m │ │ ├── vl_nnbnorm_wrapper.m │ │ └── vl_nndropout_wrapper.m │ └── xtest │ │ ├── TESTING │ │ ├── nncopy.m │ │ ├── nncycle.m │ │ ├── nnfind.m │ │ ├── nnlayers.m │ │ ├── nnmnist.m │ │ └── nntopology.m │ └── setup_autonn.m ├── dehaze ├── cnn_dehaze_train.m ├── layer │ ├── GetJ.m │ ├── GetT.m │ ├── GetU.m │ ├── Ident.m │ ├── ImpT.m │ ├── Loss.m │ ├── NonZero.m │ ├── PerLoss.m │ ├── Soft.m │ ├── SymPad.m │ ├── UpdateJ.m │ ├── UpdateT.m │ ├── UpdateU.m │ └── Upsample.m ├── library │ ├── dy_nngetJ.m │ ├── dy_nngetT.m │ ├── dy_nngetU.m │ ├── dy_nnident.m │ ├── dy_nnimpt.m │ ├── dy_nnloss.m │ ├── dy_nnpad.m │ ├── dy_nnperloss.m │ ├── dy_nnpsnr.m │ ├── dy_nnsoft.m │ ├── dy_nnupdJ.m │ ├── dy_nnupdT.m │ ├── dy_nnupdU.m │ ├── dy_nnupsample.m │ └── dy_nnzero.m ├── solver │ ├── adadelta.m │ ├── adagrad.m │ ├── adam.m │ └── rmsprop.m └── source │ ├── dy_dark_channel.cu │ ├── dy_dark_channel.mexa64 │ ├── dy_dark_channel.mexw64 │ ├── dy_dark_extract.cu │ ├── dy_dark_extract.mexa64 │ ├── dy_dark_extract.mexw64 │ ├── dy_place_back.cu │ ├── dy_place_back.mexa64 │ ├── dy_place_back.mexw64 │ ├── dy_upsample.cu │ ├── dy_upsample.mexa64 │ └── dy_upsample.mexw64 ├── demo.m ├── hazy.png ├── images ├── test-01.png ├── test-02.png ├── test-03.png ├── test-04.png ├── test-05.png └── test-06.png ├── matlab ├── +dagnn │ ├── @DagNN │ │ ├── DagNN.m │ │ ├── addLayer.m │ │ ├── eval.m │ │ ├── fromSimpleNN.m │ │ ├── getVarReceptiveFields.m │ │ ├── getVarSizes.m │ │ ├── initParams.m │ │ ├── loadobj.m │ │ ├── move.m │ │ ├── print.m │ │ ├── rebuild.m │ │ ├── removeLayer.m │ │ ├── renameLayer.m │ │ ├── renameParam.m │ │ ├── renameVar.m │ │ ├── reset.m │ │ ├── saveobj.m │ │ ├── setLayerInputs.m │ │ ├── setLayerOutputs.m │ │ └── setLayerParams.m │ ├── AffineGridGenerator.m │ ├── BatchNorm.m │ ├── BilinearSampler.m │ ├── Concat.m │ ├── Conv.m │ ├── ConvTranspose.m │ ├── Crop.m │ ├── DropOut.m │ ├── ElementWise.m │ ├── Filter.m │ ├── LRN.m │ ├── Layer.m │ ├── Loss.m │ ├── NormOffset.m │ ├── PDist.m │ ├── Pooling.m │ ├── ROIPooling.m │ ├── ReLU.m │ ├── Scale.m │ ├── Sigmoid.m │ ├── SoftMax.m │ ├── SpatialNorm.m │ ├── Sum.m │ └── UniformScalingGridGenerator.m ├── @Layer │ ├── Layer.m │ ├── sequentialNames.m │ ├── vl_nnconv.m │ └── vl_nnconvt.m ├── @Net │ ├── Net.m │ ├── compile.m │ └── eval.m ├── ParameterServer.m ├── compatibility │ └── parallel │ │ ├── gather.m │ │ ├── labindex.m │ │ └── numlabs.m ├── derivatives │ ├── autonn_der.m │ └── cat_der.m ├── functionSignatures.json ├── mex │ ├── .build │ │ ├── bits │ │ │ ├── data.o │ │ │ ├── datacu.o │ │ │ ├── datamex.o │ │ │ ├── impl │ │ │ │ ├── copy_cpu.o │ │ │ │ ├── copy_gpu.o │ │ │ │ ├── im2row_cpu.o │ │ │ │ ├── im2row_gpu.o │ │ │ │ ├── imread_libjpeg.o │ │ │ │ └── tinythread.o │ │ │ ├── imread.o │ │ │ ├── nnbias.o │ │ │ ├── nnbilinearsampler.o │ │ │ ├── nnbnorm.o │ │ │ ├── nnconv.o │ │ │ ├── nnfullyconnected.o │ │ │ ├── nnnormalize.o │ │ │ ├── nnnormalizelp.o │ │ │ ├── nnpooling.o │ │ │ ├── nnroipooling.o │ │ │ └── nnsubsample.o │ │ ├── last_compile_opts.mat │ │ ├── vl_cudatool.o │ │ ├── vl_imreadjpeg.o │ │ ├── vl_imreadjpeg_old.o │ │ ├── vl_nnbilinearsampler.o │ │ ├── vl_nnbnorm.o │ │ ├── vl_nnconv.o │ │ ├── vl_nnconvt.o │ │ ├── vl_nnnormalize.o │ │ ├── vl_nnnormalizelp.o │ │ ├── vl_nnpool.o │ │ ├── vl_nnroipool.o │ │ ├── vl_taccummex.o │ │ └── vl_tmove.o │ ├── vl_cudatool.mexa64 │ ├── vl_cudatool.mexw64 │ ├── vl_imreadjpeg.mexa64 │ ├── vl_imreadjpeg.mexw64 │ ├── vl_imreadjpeg_old.mexa64 │ ├── vl_imreadjpeg_old.mexw64 │ ├── vl_nnbilinearsampler.mexa64 │ ├── vl_nnbilinearsampler.mexw64 │ ├── vl_nnbnorm.mexa64 │ ├── vl_nnbnorm.mexw64 │ ├── vl_nnconv.mexa64 │ ├── vl_nnconv.mexw64 │ ├── vl_nnconvt.mexa64 │ ├── vl_nnconvt.mexw64 │ ├── vl_nnnormalize.mexa64 │ ├── vl_nnnormalize.mexw64 │ ├── vl_nnnormalizelp.mexa64 │ ├── vl_nnnormalizelp.mexw64 │ ├── vl_nnpool.mexa64 │ ├── vl_nnpool.mexw64 │ ├── vl_nnroipool.mexa64 │ ├── vl_nnroipool.mexw64 │ ├── vl_taccummex.mexa64 │ ├── vl_taccummex.mexw64 │ └── vl_tmove.mexa64 ├── simplenn │ ├── vl_simplenn.m │ ├── vl_simplenn_diagnose.m │ ├── vl_simplenn_display.m │ ├── vl_simplenn_move.m │ ├── vl_simplenn_start_parserv.m │ └── vl_simplenn_tidy.m ├── src │ ├── bits │ │ ├── data.cpp │ │ ├── data.cu │ │ ├── data.hpp │ │ ├── datacu.cu │ │ ├── datacu.hpp │ │ ├── datamex.cpp │ │ ├── datamex.cu │ │ ├── datamex.hpp │ │ ├── impl │ │ │ ├── blashelper.hpp │ │ │ ├── compat.h │ │ │ ├── copy.hpp │ │ │ ├── copy_cpu.cpp │ │ │ ├── copy_gpu.cu │ │ │ ├── cudnnhelper.hpp │ │ │ ├── dispatcher.hpp │ │ │ ├── fast_mutex.h │ │ │ ├── im2row.hpp │ │ │ ├── im2row_cpu.cpp │ │ │ ├── im2row_gpu.cu │ │ │ ├── imread_gdiplus.cpp │ │ │ ├── imread_helpers.hpp │ │ │ ├── imread_libjpeg.cpp │ │ │ ├── imread_quartz.cpp │ │ │ ├── sharedmem.cuh │ │ │ ├── tinythread.cpp │ │ │ └── tinythread.h │ │ ├── imread.cpp │ │ ├── imread.hpp │ │ ├── mexutils.h │ │ ├── nnbias.cpp │ │ ├── nnbias.cu │ │ ├── nnbias.hpp │ │ ├── nnbias_cudnn.cu │ │ ├── nnbilinearsampler.cpp │ │ ├── nnbilinearsampler.cu │ │ ├── nnbilinearsampler.hpp │ │ ├── nnbilinearsampler_cudnn.cu │ │ ├── nnbilinearsampler_gpu.cu │ │ ├── nnbnorm.cpp │ │ ├── nnbnorm.cu │ │ ├── nnbnorm.hpp │ │ ├── nnbnorm_cudnn.cu │ │ ├── nnbnorm_gpu.cu │ │ ├── nnconv.cpp │ │ ├── nnconv.cu │ │ ├── nnconv.hpp │ │ ├── nnconv_blas.hpp │ │ ├── nnconv_cudnn.cu │ │ ├── nnconv_cudnn.hpp │ │ ├── nnfullyconnected.cpp │ │ ├── nnfullyconnected.cu │ │ ├── nnfullyconnected.hpp │ │ ├── nnnormalize.cpp │ │ ├── nnnormalize.cu │ │ ├── nnnormalize.hpp │ │ ├── nnnormalize_gpu.cu │ │ ├── nnnormalizelp.cpp │ │ ├── nnnormalizelp.cu │ │ ├── nnnormalizelp.hpp │ │ ├── nnnormalizelp_gpu.cu │ │ ├── nnpooling.cpp │ │ ├── nnpooling.cu │ │ ├── nnpooling.hpp │ │ ├── nnpooling_cudnn.cu │ │ ├── nnpooling_gpu.cu │ │ ├── nnroipooling.cpp │ │ ├── nnroipooling.cu │ │ ├── nnroipooling.hpp │ │ ├── nnroipooling_gpu.cu │ │ ├── nnsubsample.cpp │ │ ├── nnsubsample.cu │ │ ├── nnsubsample.hpp │ │ └── nnsubsample_gpu.cu │ ├── config │ │ ├── mex_CUDA_glnxa64.sh │ │ ├── mex_CUDA_glnxa64.xml │ │ ├── mex_CUDA_maci64.sh │ │ └── mex_CUDA_maci64.xml │ ├── vl_cudatool.cpp │ ├── vl_cudatool.cu │ ├── vl_imreadjpeg.cpp │ ├── vl_imreadjpeg.cu │ ├── vl_imreadjpeg_old.cpp │ ├── vl_imreadjpeg_old.cu │ ├── vl_nnbilinearsampler.cpp │ ├── vl_nnbilinearsampler.cu │ ├── vl_nnbnorm.cpp │ ├── vl_nnbnorm.cu │ ├── vl_nnconv.cpp │ ├── vl_nnconv.cu │ ├── vl_nnconvt.cpp │ ├── vl_nnconvt.cu │ ├── vl_nnnormalize.cpp │ ├── vl_nnnormalize.cu │ ├── vl_nnnormalizelp.cpp │ ├── vl_nnnormalizelp.cu │ ├── vl_nnpool.cpp │ ├── vl_nnpool.cu │ ├── vl_nnroipool.cpp │ ├── vl_nnroipool.cu │ ├── vl_taccummex.cpp │ ├── vl_taccummex.cu │ ├── vl_tmove.cpp │ └── vl_tmove.cu ├── vl_argparse.m ├── vl_compilenn.m ├── vl_contrib.m ├── vl_nnconcat.m ├── vl_nncrop.m ├── vl_nndropout.m ├── vl_nnloss.m ├── vl_nnnoffset.m ├── vl_nnnormalizelp.m ├── vl_nnnotfound.m ├── vl_nnpdist.m ├── vl_nnrelu.m ├── vl_nnsigmoid.m ├── vl_nnsoftmax.m ├── vl_nnsoftmaxloss.m ├── vl_nnspnorm.m ├── vl_rootnn.m ├── vl_setupnn.m ├── vl_taccum.m ├── vl_tshow.m └── xtest │ ├── cmyk.jpg │ ├── nnlayers.m │ ├── suite │ ├── Scale.m │ ├── nnbilinearsampler.m │ ├── nnbnorm.m │ ├── nnconcat.m │ ├── nnconv.m │ ├── nnconvt.m │ ├── nndagnn.m │ ├── nndropout.m │ ├── nnloss.m │ ├── nnmnist.m │ ├── nnnormalize.m │ ├── nnnormalizelp.m │ ├── nnoffset.m │ ├── nnpdist.m │ ├── nnpool.m │ ├── nnrelu.m │ ├── nnroipool.m │ ├── nnsigmoid.m │ ├── nnsimplenn.m │ ├── nnsoftmax.m │ ├── nnsoftmaxloss.m │ ├── nnsolvers.m │ ├── nnspnorm.m │ ├── nntest.m │ └── tmovemex.m │ ├── vl_bench_bnorm.m │ ├── vl_bench_imreadjpeg.m │ ├── vl_nnbnorm_old.m │ ├── vl_nnnormalizelp_old.m │ ├── vl_test_bnorm.m │ ├── vl_test_economic_relu.m │ ├── vl_test_gpureset.m │ ├── vl_test_imreadjpeg.m │ ├── vl_test_print.m │ └── vl_testnn.m ├── models ├── net-ours-s1.mat ├── net-reside-s1.mat └── net-reside-s2.mat └── supplementary-material.pdf /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/legendongary/Proximal-Dehaze-Net-GPU/HEAD/.gitattributes -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/legendongary/Proximal-Dehaze-Net-GPU/HEAD/LICENSE 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