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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564
[WACV 2023] Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"
This is an official code repository for the paper, "When the sun goes down: repairing photometric losses for all-day depth estimation".
Code for the Video Restoration Framework and its Meta-adaptations to Data-poor Conditions [ECCV-22]
Official repository for "Physically Disentangled Intra- and Inter-domain Adaptation for Varicolored Haze Removal"
Official Implementation of "Flare7K: A Phenomenological Nighttime Flare Removal Dataset"
[ICCV 2021] Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes, CVPR 2022
Code and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)
Code for Learning Monocular Dense Depth from Events paper (3DV20)
Source code of the IROS 2020 paper "Depth Estimation from Monocular Images and Sparse Radar Data"
Collection of recent nighttime enhancement works, including papers, codes, datasets, and metrics.
ACM MM'23 | The office repository of NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer
wzpan / scnuthesis
Forked from scnu/scnuthesis符合华南师范大学硕士/博士学位论文格式要求的LaTeX模板。
a dehaze / picture enhancement demo using ncnn
ConanMusk / PENonLocal
Forked from justliang/PENonLocalThis is the official code for "Photon-Efficient 3D Imaging with A Non-Local Neural Network (ECCV2020)"
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738
集yolov5、centernet、unet算法的pyqt5界面，可实现图片目标检测和语义分割
ImageCaptioning improved with an attention mechanism. Also a PyQt5 application
This repository is a system based on Pytorch, sklearn and PyQt5
[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
[AAAI 2023 Oral] VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Some notes of my image dehazing research.