vztu / MAXIM
[CVPR 2022] Unofficial repository for "MAXIM: Multi-Axis MLP for Image Processing". Official repo: https://github.com/google-research/maxim
☆20Updated 2 years ago
Alternatives and similar repositories for MAXIM:
Users that are interested in MAXIM are comparing it to the libraries listed below
- Paper accepted by CVPR Workshop, NTIRE 2022☆27Updated last year
- SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)☆38Updated 2 years ago
- Code for "Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images", TIP2021☆45Updated 3 years ago
- "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆23Updated 2 years ago
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆51Updated 2 years ago
- A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.☆48Updated 2 years ago
- NeurIPS 2023 - Real-world super-resolution as multi-task learning☆17Updated 11 months ago
- ☆19Updated last year
- Official repository of KOALAnet (CVPR, 2021)☆37Updated 2 years ago
- Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset (Real-RawVSR), ECCV 2022☆55Updated last year
- Repository for the ECCV 2020 paper: "Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping"☆32Updated 3 years ago
- Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution (CVPRW 2023)☆26Updated last year
- This is the official code for our ACCV2020 work 'Degradation Model Learning for Real-World SISR'☆9Updated 4 years ago
- Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)☆41Updated 3 years ago
- ☆31Updated 6 months ago
- ☆16Updated 3 years ago
- Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]☆20Updated 2 years ago
- [Preprint] "CERL: Coordinated Enhancement for Real-World Low-Light Noisy Images" by Zeyuan Chen, Yifan Jiang, Dong Liu and Zhangyang Wang☆14Updated 2 years ago
- ☆23Updated 3 years ago
- Learning Cascaded Convolutional Networks for Blind Single Image Super-Resolution☆21Updated 4 years ago
- Repository for the paper: GamutMLP - A Lightweight MLP for Color Loss Recovery (CVPR 2023)☆39Updated 9 months ago
- Unpaired Raw-to-Raw Translation for Learnable Camera ISPs☆26Updated last month
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆53Updated 2 years ago
- Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".☆45Updated 2 years ago
- ☆60Updated 3 years ago
- Codes for "Accelerating the Training of Video Super-Resolution"☆30Updated 2 years ago
- Pytorch code for "Low-light Image Restoration with Short- and Long-exposure Raw Pairs"☆19Updated 2 years ago
- Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"☆76Updated 2 years ago
- Official implementation of our IJCV paper☆36Updated last year
- EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation☆25Updated last year