Paper

• Deep Learning for HDR Imaging: State-of-the-Art and Future Trends - | Survey |
• Progressive and Selective Fusion Network for High Dynamic Range Imaging - | - |
• Ghost-free High Dynamic Range Imaging with Context-aware Transformer - research/HDR-Transformer) </br> [PyTorch](https://github.com/liuzhen03/HDR-Transformer-PyTorch) | Transformer-based solution |
• Deep Learning for HDR Imaging: State-of-the-Art and Future Trends - | Survey |
• NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results - | Review of the NTIRE 2022 HDR Challenge |
• Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting - | Few-shot |
• NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results - | Review of the NTIRE 2021 HDR Challenge |
• ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
• HDR-GAN: HDR image reconstruction from multi-exposed ldr images with large motions - GAN) | GAN-based |
• Progressive and Selective Fusion Network for High Dynamic Range Imaging - | - |
• Deep HDR Imaging via A Non-local Network - | Non-local |
• Towards Practical and Efficient High-Resolution HDR Deghosting with CNN - | Practical and Efficient solution |
• Attention-guided Network for Ghost-free High Dynamic Range Imaging - based |
• Multi-scale dense networks for deep high dynamic range imaging - | - |
• Deep High Dynamic Range Imaging with Large Foreground Motions - flow based |
• Deep High Dynamic Range Imaging of Dynamic Scenes - based solution |
• Generating Content for HDR Deghosting from Frequency View - | Diffusion Model |
• SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging
• Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset - HDRDN) | Attention-based |
• SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders - | Few-shot |
• A Unified HDR Imaging Method with Pixel and Patch Level - | Attention-based |
• Improving Dynamic HDR Imaging with Fusion Transformer - | Transformer-based |
• Alignment-free HDR Deghosting with Semantics Consistent Transformer - flow based |