A DSRCNN model with a Flask frontend for image upscaling.
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Updated
May 19, 2024 - Python
A DSRCNN model with a Flask frontend for image upscaling.
[CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
SwinIR: Image Restoration Using Swin Transformer (official repository)
[CVPR 2024] Code for our Paper "CFAT: Unleashing Triangular Windows for Image Super-resolution"
Official repository of our works related to Super-Resolution of BVOC Emission Maps.
Hierarchical Pixel Integration for Lightweight Image Super-Resolution
A Collection of Low Level Vision Research Groups
The official repository of "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]
Data Upcycling Knowledge Distillation for Image Super-Resolution (official repository)
Dependency for recognizing and executing Image Super-Resolution PyTorch architectures
PyTorch implementation of Frequency-based Enhancement Network for Efficient Super-Resolution. (IEEE Access2022)
PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)
PyTorch implementation of OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network (WACV 2021)
Image super-resolution via dynamic network (CAAI Transactions on Intelligence Technology, 2024)
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.(文本语义检索、以图搜图、语义搜图、图片超分辨率、推荐系统)
Implementation of Deep Learning Models for Image Super Resolution
This is a deep learning project applying the SRCNN model, proposed in the paper 'Image Super-Resolution Using Deep Convolutional Networks,' and implemented with the PyTorch library.
Plus Ultra is a tool to enhance digital media.
A curated list of resources for Low-level Vision Tasks
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