| Data Augmentation in Training CNNs: Injecting Noise to Images | Jul 12, 2023 | Data Augmentationimage-classification | —Unverified | 0 |
| HSTR-Net: Reference Based Video Super-resolution with Dual Cameras | Oct 18, 2023 | Optical Flow EstimationReference-based Super-Resolution | —Unverified | 0 |
| Human Perceptual Evaluations for Image Compression | Aug 9, 2019 | Deep LearningImage Compression | —Unverified | 0 |
| Towards improved lossy image compression: Human image reconstruction with public-domain images | Oct 25, 2018 | Image CompressionImage Reconstruction | —Unverified | 0 |
| Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks | Mar 11, 2019 | DecoderImage Segmentation | —Unverified | 0 |
| Hybrid learning of Non-Cartesian k-space trajectory and MR image reconstruction networks | Oct 25, 2021 | compressed sensingImage Reconstruction | —Unverified | 0 |
| Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR << 1 Imaging | Apr 13, 2025 | DenoisingSSIM | —Unverified | 0 |
| DCE-FORMER: A Transformer-based Model With Mutual Information And Frequency-based Loss Functions For Early And Late Response Prediction In Prostate DCE-MRI | Feb 3, 2024 | SSIM | —Unverified | 0 |
| DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution | Dec 15, 2022 | Image Super-ResolutionSSIM | —Unverified | 0 |
| Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs | Jul 15, 2019 | Deep LearningImage Compression | —Unverified | 0 |
