Collect High Dynamic Range Imaging (especially for Multi-exposure Fusion and High Dynamic Range Imaging) Related Papers and Codes.
Title | Model | Paper | Code | Main Idea or Key Words | Label |
---|---|---|---|---|---|
A Lightweight Network for High Dynamic Range Imaging | HUNet | CVPR-2022 | - | Lightweight Network | Dynamic |
Ghost-free High Dynamic Range Imaging with Context-aware Transformer | HDR-Transformer | ECCV-2022 | HDR-Transformer | Context-Aware Transformer | Dynamic |
TransMEF: A Transformer-Based Multi-exposure Image Fusion Framework using self-supervised Multi-Task Learning | TransMEF | AAAI-2022 | TransMEF | Transformer, Self-supervised learning | Static |
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging | DAHDRNet | IJCV-2022 | - | Dual-attention | Dynamic |
Title | Model | Paper | Code | Main Idea or Key Words | Label |
---|---|---|---|---|---|
Ghost-Free Deep High-Dynamic-Range Imaging Using Focus Pixels for Complex Motion Scenes | - | TIP-2021 | - | Focus Pixels | Dynamic |
ADNet: Attention-guided deformable convolutional network for high dynamic range imaging | ADNet | CVPRW-2021 | ADNet | Deformable Convolution | Dynamic |
Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution | CF-Net | TIP-2021 | CF-Net | Joint MEF and SR, Feedback Mechanism | Static |
Self-Gated Memory Recurrent Network for Efficient Scalable HDR deghosting | HDRRNN | TCI-2021 | HDRRNN | Recurrent Network | Dynamic |
HDR-GAN: HDR Image Reconstruction From Multi-Exposed LDR Images With Large Motions | HDR-GAN | TIP-2021 | HDR-GAN | GAN | Dynamic |
Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting | FSHDR | CVPR-2021 | FSHDR | Few-shot Learning | Dynamic |
Hierarchical Fusion for Practical Ghost-free High Dynamic Range Imaging | HFNet | ACMMM-2021 | - | Mask | Dynamic |
IFCNN: A general image fusion framework based on convolutional neural network | IFCNN | Information Fusion-2021 | IFCNN | Salient Features | Static |
Multi-exposure image fusion via deep perceptual enhancement | DPE-MEF | Information Fusion-2021 | DPE-MEF | Perceptual Enhancement | Static |
Title | Model | Paper | Code | Main Idea or Key Words | Label |
---|---|---|---|---|---|
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion | CU-Net | TPAMI-2020 | CU-Net | Interpretable Network, Multi-modal image processing | Static |
U2Fusion: A Unified Unsupervised Image Fusion Network | U2Fusion | TPAMI-2020 | U2Fusion | Unsupervised Learning | Static |
Deep Guided Learning for Fast Multi-Exposure Image Fusion | MEF-Net | TIP-2020 | MEF-Net | Unsupervised Learning, Guided Filter | Static |
Deep HDR Imaging via A Non-Local Network | NHDRRnet | TIP-2020 | NHDRRnet | Non-local | Dynamic |
Unsupervised Deep Image Fusion With Structure Tensor Representations | DIF-Net | TIP-2020 | DIF-Net | Unsupervised Learning, Structure Tensor Representations | Static |
MEF-GAN: Multi-Exposure Image Fusion via Generative Adversarial Networks | MEF-GAN | TIP-2020 | MEF-GAN | GAN | Static |
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN | HR-HDR | ECCV-2020 | - | Bilateral Guided Upsampler, Efficient | Dynamic |
Title | Model | Paper | Code | Main Idea or Key Words | Label |
---|---|---|---|---|---|
Attention-guided Network for Ghost-free High Dynamic Range Imaging | AHDRNet | CVPR-2019 | AHDRNet | Attention | Dynamic |
Title | Model | Paper | Code | Main Idea or Key Words | Label |
---|---|---|---|---|---|
Deep high dynamic range imaging with large foreground motions | DeepHDR | ECCV-2018 | DeepHDR | First End-to-End, U-Net | Dynamic |
Title | Model | Paper | Code | Main Idea or Key Words | Label |
---|---|---|---|---|---|
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs | DeepFuse | ICCV-2017 | - | Extreme Exposure Fusion, Unsupervised | Static |
Deep High Dynamic Range Imaging of Dynamic Scenes | Kalantari | ACM-TOG-2017 | Kalantari | Resgistration, Large Dataset | Dynamic |
HDR image reconstruction from a single exposure using deep CNNs | HDRCNN | ACM-TOG-2017 | HDRCNN | Single Image HDR | Static & Dynamic |
Title | Model | Paper | Code | Main Idea or Key Words | Label | Year |
---|---|---|---|---|---|---|
Detail-Preserving Multi-Exposure Fusion with Edge-Preserving Structural Patch Decomposition | MSPD-MEF | TCSVT-2021 | MSPD-MEF | Structural Patch Decomposition | Static & Dynamic | 2021 |
Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion | FMMEF | TIP-2020 | FMMEF | Multi-scale, Structural Patch Decomposition | Static & Dynamic | 2020 |
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach | SPD-MEF | TIP-2017 | SPD-MEF | Robust, Structural Patch Decomposition | Static & Dynamic | 2017 |
Robust High Dynamic Range Imaging by Rank Minimization | RHDR | TPAMI-2015 | RHDR | Rank Minimization | Dynamic | 2015 |
Ghost-Free High Dynamic Range Imaging via Rank Minimization | RM-HDR | SPL-2014 | RM-HDR | Rank Minimization | Dynamic | 2014 |
HDR Deghosting: How to deal with Saturation? | Hu et al. | CVPR-2013 | Hu | Registration | Dynamic | 2013 |
Robust Patch-Based HDR Reconstruction of Dynamic Scenes | Sen et al. | ACM-TOG-2012 | Sen | Patch-Based Registration | Dynamic | 2012 |
Freehand HDR Imaging of Moving Scenes with SImultaneous Resolution Enhancement | Zimmer et al. | EUROGRAPHICS-2011 | - | Joint SR and HDR, Energe-based Optic Flow | Dynamic | 2011 |
Exposure Fusion | Mertens et al. | Pacific-Graphics-2007 | Mertens | Laplacian Decomposition and Gaussian Pyramid | Static | 2007 |
Dataset | Source | Download | Type | Size | Year |
---|---|---|---|---|---|
NTIRE_2021_HDR_dataset | CVPRW-2021 | Download | Dynamic | 1760 sequences | 2021 |
IISc_VAL_HDRRNN_dataset | TCI-2021 | Download | Dynamic | 84 sequences, 588 images | 2021 |
DeghostingIQADatabase | TIP-2020 | Download | Dynamic | 20 sequences, 180 images | 2020 |
SICE | TIP-2018 | Download | Static | 589 sequences, 4413 images | 2018 |
MEF-IQA | TCI-2018 | Download | Static | 24 sequences | 2018 |
Kalantari_dataset | ACM-TOG-2017 | Download | Dynamic | 89 sequences, 267 images | 2017 |
Sen_dataset | ACM-TOG-2012 | Download | Dynamic | 8 sequences | 2012 |
Title | Metric | Paper | Code | Scene | Type | Year |
---|---|---|---|---|---|---|
Superpixel-Based Quality Assessment of Multi-Exposure Image Fusion for Both Static and Dynamic Scenes | Fang-2021 | TIP-2021 | - | Static & Dynamic | NR | 2021 |
Perceptual Evalutation for Multi-Exposure Image Fusion of Dynamic Scenes | MEF-SSIMd | TIP-2020 | MEF-SSIMd | Dynamic | NR | 2020 |
Image Quality Assessment of Multi-Exposure Image Fusion for Both Static and Dynamic Scenes | Fang-2019 | ICME-2019 | - | Static & Dynamic | NR | 2019 |
Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index | MEF-SSIMc | TCI-2018 | MEF-SSIMc | Static | NR | 2018 |
Perceptual Quality Assessment of HDR Deghosting Algorithms | Fang-2017 | ICIP-2017 | - | Dynamic | NR | 2017 |
An Objective Deghosting Quality Metric for HDR Images | Tursun et al. | EUROGRAPHICS-2016 | Tursun et al. | Dynamic | RR | 2016 |
Perceptual Quality Assessment for Multi-Exposure Image Fusion | MEF-SSIM | TIP-2015 | MEF-SSIM | Static | NR | 2015 |
HDR-VDP-2: A Calibrated Visual Metric for Visibility and Quality Predictions in All Luminance Conditions | HDR-VDP-2 | SIGGRAPH-2011 | HDR-VDP-2 | Dynamic | FR | 2011 |