VIML_CVDL: Computer Vision and Deep Learning's repositories
night-enhancement
Implementation of paper "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression" (ECCV22)
NightTime_Datasets
Repository containing a list of labelled/unlabelled nighttime datasets
DC-ShadowNet-Hard-and-Soft-Shadow-Removal
This repository contains the code and models for the following paper.
FogRemoval
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal
nighttime_dehaze
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution"
S-Aware-network
AAAI22, Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
awesome-autonomous-driving-datasets
an awesome list of autonomous driving datasets
Awesome-Nighttime-Enhancement
Collection of recent nighttime enhancement works, including papers, codes, datasets, and metrics.
EqMotion
[CVPR2023] EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
HeavyRainRemoval
An implementation of paper "Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning" (CVPR19)
knowledge-distillation-papers
knowledge distillation papers
LUQ-Bongard
This is the official code for paper "Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI" [AAAI2024]
NighttimeDepthandFlow
Codes for the paper - Depth Estimation in Nighttime using Stereo-Consistent Cyclic Translations, arXiv'19
RainStreakGen
Code for Generating Rain Streaks for paper "Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network"
Resource
Benchmarks, Datasets, Papers
RetinexNet_PyTorch
Unofficial PyTorch code for the paper - Deep Retinex Decomposition for Low-Light Enhancement, BMVC'18
Self-Aligned-Video-Deraining-with-Transmission-Depth-Consistency
Self-Aligned Video Deraining with Transmission-Depth Consistency
Some_Useful_Scripts
Some useful scripts for remote mounting, resource monitoring, etc.