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NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results00.342022
Efficient and robust eye images iris segmentation using a lightweight U-net convolutional network00.342022
NTIRE 2022 Spectral Recovery Challenge and Data Set00.342022
NTIRE 2022 Image Inpainting Challenge: Report00.342022
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution10.352022
LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image Processing00.342022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models00.342022
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.00.342022
PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices.00.342022
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild00.342022
Revisiting Random Channel Pruning for Neural Network Compression00.342022
Arbitrary-Scale Image Synthesis00.342022
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction00.342022
NTIRE 2022 Spectral Demosaicing Challenge and Data Set00.342022
NTIRE 2022 Challenge on Perceptual Image Quality Assessment00.342022
Plug-and-Play Image Restoration With Deep Denoiser Prior110.502022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results00.342022
Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration00.342022
Flow-Guided Sparse Transformer for Video Deblurring.00.342022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction00.342022
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model00.342022
Generative Flows with Invertible Attentions00.342022
NTIRE 2022 Challenge on Learning the Super-Resolution Space10.372022
Perceptual Learned Video Compression with Recurrent Conditional GAN00.342022
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging00.342022
NTIRE 2022 Burst Super-Resolution Challenge00.342022
Video super-resolution based on deep learning: a comprehensive survey00.342022
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results00.342022
Deep Burst Super-Resolution30.382021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report10.352021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling.00.342021
Fourier Space Losses for Efficient Perceptual Image Super-Resolution.00.342021
Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction.00.342021
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results90.472021
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report00.342021
Special Section Guest Editorial: Perceptually Optimized Imaging00.342021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results30.382021
Fast Few-Shot Classification by Few-Iteration Meta-Learning00.342021
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression00.342021
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report00.342021
SMILE: Semantically-guided Multi-attribute Image and Layout Editing00.342021
Fast and Accurate Camera Scene Detection on Smartphones00.342021
Flow-based Kernel Prior with Application to Blind Super-Resolution00.342021
Deep Learning for Visual Data Compression00.342021
NTIRE 2021 Depth Guided Image Relighting Challenge50.392021
Generalized Real-World Super-Resolution through Adversarial Robustness00.342021
Learning Accurate Dense Correspondences and When to Trust Them00.342021
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution.00.342021
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows20.362021
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report10.352021