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

Object DGCNN and DETR3D, Our implementations are built on top of MMdetection3D.

Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

PyTorch implementation of DreamerV2 model-based RL algorithm

Stochastic Scene-Aware Motion Prediction

The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".

Y. Zhang, Q. Yao, W. Dai, L. Chen. AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. IEEE International Conference on Data Engineering (ICDE). 2020

Pytorch implementation for the paper: Contrastive Learning for Cold-start Recommendation

Efficient and intelligent interactive segmentation annotation software

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Plaything for Autistic Children (demo for PaddlePaddle/Wechaty/Mixlab project)

Streamlit component for TensorBoard, TensorFlow's visualization toolkit

RTSeg: Real-time Semantic Segmentation Comparative Study

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Test-Time Personalization with a Transformer for Human Pose Estimation, NeurIPS 2021

NAVER BoostCamp Final Project

Shuffle Attention for MobileNetV3

Flower classification model that classifies flowers in 10 classes made using transfer learning (~85% accuracy).

Python Assignments for the Deep Learning lectures by Andrew NG on coursera with complete submission for grading capability.

MediaPipe is a an open-source framework from Google for building multimodal