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lidongwu's Projects

acan icon acan

Attention-based Context Aggregation Network for Monocular Depth Estimation

acnet icon acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

attention-module icon attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

bm3d icon bm3d

Clone from http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software

bm3d-denoise icon bm3d-denoise

Using BM3D to denoise ,the code I'm modified is from https://github.com/MarkPrecursor/BM3D_Denosing.git

cbmv icon cbmv

Welcome to the code repository of CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. CVPR 2018

ccnet icon ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

ccnoise icon ccnoise

The source code of "A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising, CVPR16"

colmap icon colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cspn icon cspn

Convolutional Spatial Propagation Network

deeplego icon deeplego

A set of configurable state-of-the-art Semantic Segmentation Networks, including ResNet, Dilated ResNet, DeepLabv3, DeepLabv3+, Large Kernel Matters, Vortex Pooling, HDC etc.

deeppruner icon deeppruner

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)

deepsfm icon deepsfm

This is a PyTorch implementation of the ECCV2020 paper "DeepSFM: Structure From Motion Via Deep Bundle Adjustment".

demon icon demon

DeMoN: Depth and Motion Network

densenet-pytorch icon densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

dhdn icon dhdn

PyTorch Implementation of "Densely Connected Hierarchical Network for Image Denoising", CVPRW, NTIRE2019

didn icon didn

Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

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