sdpscnc's starred repositories

LLVIP

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

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master-sau

Sau og master

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Learning-to-dehaze-with-polarization

NeurIPS 2021 paper: Learning to Dehaze with Polarization

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Awesome-Polarization

List of awesome papers on Polarization Imaging

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awesome-polarization-in-vision

A collection of polarization-based models in computer vision, including shape from polarization, polarization-based reflection removal.

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polarization-reflection-removal

[CVPR2020] Polarized Reflection Removal with Perfect Alignment in the Wild

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polanalyser

Polarization image analysis tool. Demosaicing, Stokes vector, Mueller matrix.

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BM3D_py

pure Python implementation of BM3D

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BM3D-Denoise

Using BM3D to denoise

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Multi-Modal-Image-Fusion

Training for multi-modal image fusion with PyTorch.

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EfficientFormer

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

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ParC-Net

[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"

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DeepLearningNote

this is all of my code and data with my deep learning note

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ASFF

yolov3 with mobilenet v2 and ASFF

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involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

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SCNet

The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

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ODConv

The official project website of "Omni-Dimensional Dynamic Convolution" (ODConv for short, spotlight in ICLR 2022).

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BASNet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

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Meta-PU

Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud (TVCG 2021)

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Pointnet2_PyTorch

PyTorch implementation of Pointnet2/Pointnet++

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FCDFusion

A fast and color-reserved fusion method for visible and infrared image pairs, and a metric called color deviation. This is the Python implementation of the paper "FCDFusion: a fast, low color deviation method for fusing visible and infrared image pairs".

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IR-colorization

Colorization of infrared images based on feature fusion and contrastive learning

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mfst-image-fusion

MFST: Multi-Modal Feature Self-Adaptive Transformer for Infrared and Visible Image Fusion

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YDTR

[IEEE TMM 2022] Official implementation of YDTR: Infrared and Visible Image Fusion via Y-shape Dynamic Transformer

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Deep-Retinex-fusion

A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion

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