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Deep-Blind-Hyperspectral-Image-Fusion

This repository is the official code for DBIN (ICCV 2019) and EDBIN (TNNLS 2021)

ConvNorm

Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks

CEN

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

convolution_exponential_and_sylvester

deep_equilibrium_inverse

Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"

FaPN

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

fasth

Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.

FcaNet

FcaNet: Frequency Channel Attention Networks

guided-deep-decoder

Code of 'Guided Deep Decoder: Unsupervised Image Pair Fusion'

hamburger-pytorch

Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"

Hierarchical-Regression-Network-for-Spectral-Reconstruction-from-RGB-Images

NTIRE 2020 Spectral Reconstruction Challenge 1st Place Paper

HNU-HMi

A UAV-borne Dataset for Multispectral and Hyperspectral Image Fusion

Image-Fusion-Transformer

Invertible-Image-Rescaling

[ECCV 2020] Invertible Image Rescaling

jacobian_free_backprop

Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).

MANet

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

mdeq

[NeurIPS'20] Multiscale Deep Equilibrium Models

micronet

ONI

PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs

PSA

This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression"

PZRes-Net

Source Codes of the paper " Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning"

Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising

RLANet

Deep Networks with Recurrent Layer Aggregation

Robust-Differentiable-SVD

satellite-pixel-synthesis-pytorch

PyTorch implementation of NeurIPS 2021 paper "Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis"

self-adaptive-training

Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'

SFM

(ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

SOFT

SOFT: Softmax-free Transformer with Linear Complexity, NeurIPS 2021 Spotlight

T3SC

Official implementation of T3SC (Neurips 2021)

USRNet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)