| 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 |
| 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 |
| 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 |
| NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results | 2 | 0.37 | 2020 |
| Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression | 3 | 0.39 | 2020 |
| Probabilistic Regression For Visual Tracking | 3 | 0.37 | 2020 |
| Glu-Net: Global-Local Universal Network For Dense Flow And Correspondences | 1 | 0.34 | 2020 |
| Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks | 1 | 0.34 | 2020 |
| AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results | 1 | 0.40 | 2020 |
| GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network | 0 | 0.34 | 2020 |
| AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results | 0 | 0.34 | 2020 |
| DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution. | 1 | 0.35 | 2020 |
| AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results | 1 | 0.41 | 2020 |
| Learned image and video compression with deep neural networks | 0 | 0.34 | 2020 |
| NTIRE 2020 Challenge on Image and Video Deblurring | 0 | 0.34 | 2020 |
| The Eighth Visual Object Tracking VOT2020 Challenge Results. | 3 | 0.46 | 2020 |
| Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network | 0 | 0.34 | 2020 |
| AIM 2020 Challenge on Learned Image Signal Processing Pipeline | 1 | 0.37 | 2020 |
| NTIRE 2020 Challenge on NonHomogeneous Dehazing | 3 | 0.37 | 2020 |
| Learning For Video Compression With Hierarchical Quality And Recurrent Enhancement | 2 | 0.37 | 2020 |
| NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results | 2 | 0.36 | 2020 |
