| NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results | 0 | 0.34 | 2022 |
| Efficient and robust eye images iris segmentation using a lightweight U-net convolutional network | 0 | 0.34 | 2022 |
| NTIRE 2022 Spectral Recovery Challenge and Data Set | 0 | 0.34 | 2022 |
| NTIRE 2022 Image Inpainting Challenge: Report | 0 | 0.34 | 2022 |
| Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution | 1 | 0.35 | 2022 |
| LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image Processing | 0 | 0.34 | 2022 |
| RePaint: Inpainting using Denoising Diffusion Probabilistic Models | 0 | 0.34 | 2022 |
| NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. | 0 | 0.34 | 2022 |
| PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices. | 0 | 0.34 | 2022 |
| Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild | 0 | 0.34 | 2022 |
| Revisiting Random Channel Pruning for Neural Network Compression | 0 | 0.34 | 2022 |
| Arbitrary-Scale Image Synthesis | 0 | 0.34 | 2022 |
| Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction | 0 | 0.34 | 2022 |
| NTIRE 2022 Spectral Demosaicing Challenge and Data Set | 0 | 0.34 | 2022 |
| NTIRE 2022 Challenge on Perceptual Image Quality Assessment | 0 | 0.34 | 2022 |
| Plug-and-Play Image Restoration With Deep Denoiser Prior | 11 | 0.50 | 2022 |
| NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results | 0 | 0.34 | 2022 |
| Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration | 0 | 0.34 | 2022 |
| Flow-Guided Sparse Transformer for Video Deblurring. | 0 | 0.34 | 2022 |
| MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction | 0 | 0.34 | 2022 |
| Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model | 0 | 0.34 | 2022 |
| Generative Flows with Invertible Attentions | 0 | 0.34 | 2022 |
| NTIRE 2022 Challenge on Learning the Super-Resolution Space | 1 | 0.37 | 2022 |
| Perceptual Learned Video Compression with Recurrent Conditional GAN | 0 | 0.34 | 2022 |
| HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging | 0 | 0.34 | 2022 |
| NTIRE 2022 Burst Super-Resolution Challenge | 0 | 0.34 | 2022 |
| Video super-resolution based on deep learning: a comprehensive survey | 0 | 0.34 | 2022 |
| NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results | 0 | 0.34 | 2022 |
| Deep Burst Super-Resolution | 3 | 0.38 | 2021 |
| Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report | 1 | 0.35 | 2021 |
| Towards Efficient Graph Convolutional Networks for Point Cloud Handling. | 0 | 0.34 | 2021 |
| Fourier Space Losses for Efficient Perceptual Image Super-Resolution. | 0 | 0.34 | 2021 |
| Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. | 0 | 0.34 | 2021 |
| NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results | 9 | 0.47 | 2021 |
| Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report | 0 | 0.34 | 2021 |
| Special Section Guest Editorial: Perceptually Optimized Imaging | 0 | 0.34 | 2021 |
| NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results | 3 | 0.38 | 2021 |
| Fast Few-Shot Classification by Few-Iteration Meta-Learning | 0 | 0.34 | 2021 |
| Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression | 0 | 0.34 | 2021 |
| Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report | 0 | 0.34 | 2021 |
| SMILE: Semantically-guided Multi-attribute Image and Layout Editing | 0 | 0.34 | 2021 |
| Fast and Accurate Camera Scene Detection on Smartphones | 0 | 0.34 | 2021 |
| Flow-based Kernel Prior with Application to Blind Super-Resolution | 0 | 0.34 | 2021 |
| Deep Learning for Visual Data Compression | 0 | 0.34 | 2021 |
| NTIRE 2021 Depth Guided Image Relighting Challenge | 5 | 0.39 | 2021 |
| Generalized Real-World Super-Resolution through Adversarial Robustness | 0 | 0.34 | 2021 |
| Learning Accurate Dense Correspondences and When to Trust Them | 0 | 0.34 | 2021 |
| Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. | 0 | 0.34 | 2021 |
| DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows | 2 | 0.36 | 2021 |
| Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report | 1 | 0.35 | 2021 |
