196 Open source projects that are alternatives of or similar to FISR

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

PyTorch implementation of Super SloMo by Jiang et al.

Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码，EDVR、WDSR、ESRGAN三个模型。

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

Multi-frame super-resolution via sub-pixel.

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Pytorch framework can easily implement srcnn algorithm with excellent performance

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

Pytorch implementation for LapSRN (CVPR2017)

Complete download for papers in various top conferences

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Efficient & Generic Video Super-Resolution

A High-Quality Real Time Upscaler for Anime Video

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

Papers from top conferences and journals for event extraction in recent years

The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"

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

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

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

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

computational zoom from raw sensor data

Neighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

Frame interpolation

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

SRDenseNet-pytorch（ICCV_2017）

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

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

PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"

R package for fitting joint models to time-to-event data and multivariate longitudinal data

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

[AAAI20] Deep Object Co-segmentation via Spatial-Semantic Network Modulation(Oral paper)

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

AAAI2020-The official implementation of "Learning Cross-modal Context Graph for Visual Grounding"

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

A collection of tools for painting super-resolution images

Video super resolution implemented in Pytorch

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 …

Plug-and-Play Image Restoration with Deep Denoiser Prior (PyTorch)

PyTorch on Super Resolution

AI无损放大工具

将任何窗口放大至全屏

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution