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45 search results found

Mmagic ⭐ 6,572

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

Final2x ⭐ 4,754

2^x Image Super-Resolution ☢️

Image Super Resolution ⭐ 4,392

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Superimage ⭐ 1,187

Sharpen your low-resolution pictures with the power of AI upscaling

Realsr Ncnn Android ⭐ 593

An Android application for super-resolution & interpolation. Contains RealSR-NCNN, SRMD-NCNN, RealCUGAN-NCNN, Real-ESRGAN-NCNN, Waifu2x-NCNN, nearest, bilinear, bicubic, AVIR.

All image quality metrics you need in one package.

A Python implementation of RAISR

Swin2sr ⭐ 303

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 1.8 M runs https://replicate.com/mv-lab/swin2sr

Zoom Learn Zoom ⭐ 183

computational zoom from raw sensor data

Deepinv ⭐ 165

PyTorch library for solving imaging inverse problems using deep learning

Local Texture Estimator for Implicit Representation Function, in CVPR 2022

Super Image ⭐ 110

State-of-the-art image super resolution models for PyTorch.

Cfsrcnn ⭐ 109

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)

Supper Resolution ⭐ 101

Super-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.

Jalali Lab Implementation Of Raisr ⭐ 92

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has b

Open source Python library for building bioimage analysis pipelines

Handheld Multi Frame Super Resolution ⭐ 79

Handheld Multi-image Super-resolution [Wronski et al., SIGGRAPH19]. Non-official GPU-supported Python implementation.

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

Neuralimagesuperresolution ⭐ 71

Colabs for Neural Image Enhancement.

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

Bicubic_pytorch ⭐ 56

A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.

Deepoptics ⭐ 54

Sparse Sim ⭐ 45

Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3

Bicubic Interpolation ⭐ 42

Bicubic interpolation for images (Python)

Super Resolution ⭐ 40

A framework for multiframe super-resolution (enhancing the quality of an image from multiple similar low-resolution images) with support for hyperspectral imaging data.

Ntire23 Rtsr ⭐ 39

CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution

Learning Local Implicit Fourier Representation for Image Warping, in ECCV 2022

Fast_anime_vsr ⭐ 31

Fast Anime Video Super Resolution and Restoration (Real-CUGAN + Real-ESRGAN + VCISR based)

Lightfieldreconstruction ⭐ 28

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

Koalanet ⭐ 27

Official repository of KOALAnet (CVPR, 2021)

Mobile_image Video_enhancement ⭐ 24

Sensifai image and video enhancement module on mobiles

Ai Challenge ⭐ 24

A code for converting and testing Tensorflow models for AI Challenge

Sparse Deconv Py ⭐ 24

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

Augmennt ⭐ 22

Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.

Mirnet Keras ⭐ 17

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

Srcnn Anime ⭐ 16

A Super-Resolution Convolutional Neural Network builds for artwork, anime, and illustration. Senior Project - Artwork Enlargement and Quality Improvement using Machine Learning. ICITEE 2021 - Enhancement of Anime Imaging Enlargement Using Modified Super-Resolution CNN.

Tensorflow Bicubic Downsample ⭐ 14

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.

Iceshell ⭐ 14

A GUI program that upscales anime-style images with AI super-resolution. Uses Real-CUGAN, Real-ESRGAN and Waifu2x. Available on Linux and Windows

This is the official testing code of the baseline method presented at the CVPR 2023 NTIRE Real-Time 4K Super-Resolution Challenge. We provide model and pre-trained checkpoints.

Deep Learning Super Resolution Image Reconstruction Dsir ⭐ 12

Deep-Learning convolutional auto-encoders applied to super-resolution microscopy data to localization image reconstruction.

Sr Rescnn Keras ⭐ 12

A Keras implementation of a SISR (Single-Image Super-Resolution) Residual-CNN.

Super Resolution ⭐ 12

This project shows Image Super Resolution using Deep Learning . Seven models are implemented SRCNN, FSRCNN,ESPCN, RDN, RFDN, Autoencoder and ESRGAN.

Source code of SACD(Super-resolution with Auto-Correlation two-step Deconvolution)

Super Resolution Js ⭐ 10

SOTA image super-resolution in JavaScript/Wasm using an ONNX-ported SwinIR model

Super-resolution enhancement of PROBA-V satellite images

Supernovasr ⭐ 6

Explore Super Image Resolution through sophisticated degradation modeling. Explore this approach to enhance real image quality and elevate your image enhancement capabilities

Deep Learning based Image Super Resolution using DCGANs in Keras

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