MIRNet

Tensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image Restoration and Enhancement.

Lanuch Notebooks:

Wandb Logs: https://wandb.ai/19soumik-rakshit96/mirnet

TFLite Variant of MIRNet: https://github.com/sayakpaul/MIRNet-TFLite.

TFLite Models on Tensorflow Hub: https://tfhub.dev/sayakpaul/lite-model/mirnet-fixed/dr/1.

Tensorflow JS Variant of MIRNet: https://github.com/Rishit-dagli/MIRNet-TFJS.

Pre-trained Weights

Trained on 128x128 patches: https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing
Trained on 256x256 patches: https://drive.google.com/file/d/1sUlRD5MTRKKGxtqyYDpTv7T3jOW6aVAL/view?usp=sharing

Citation

@misc{
    2003.06792,
    Author = {Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat and Fahad Shahbaz Khan and Ming-Hsuan Yang and Ling Shao},
    Title = {Learning Enriched Features for Real Image Restoration and Enhancement},
    Year = {2020},
    Eprint = {arXiv:2003.06792},
}

Tensorflow implementation of MIRNet for Low-light image enhancement

Related tags

Overview

MIRNet

Pre-trained Weights

Citation

Owner

Soumik Rakshit

[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation

Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks

A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.

This code finds bounding box of a single human mouth.

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

A 2D Visual Localization Framework based on Essential Matrices [ICRA2020]

Caffe models in TensorFlow

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Code for Active Learning at The ImageNet Scale.

EM-POSE 3D Human Pose Estimation from Sparse Electromagnetic Trackers.

Dense matching library based on PyTorch

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN)

Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

Neural Tangent Generalization Attacks (NTGA)

Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence

SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation, CVPR 2022

Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)

NIMA: Neural IMage Assessment

Course on computational design, non-linear optimization, and dynamics of soft systems at UIUC.

Complex Answer Generation For Conversational Search Systems.