MDFN - Python
https://github.com/sqyon/MDFN 26MDFN - Python Similar Projects List
Latest development of ISR VSR
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Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.
LLFF - C++
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Code release for Local Light Field Fusion at SIGGRAPH 2019.
Local Light Field Fusion
Project | Video | Paper
Tensorflow implementation for novel view synthesis from sparse input images. Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
SFTGAN - Lua
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CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform. Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform (CVPR 2018)
UltraSR Arbitrary Scale Super Resolution -
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[Preprint] UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution, 2021. Arbitrary-scale super-resolution is a raising research topic with tremendous application potentials. Prior CNN-based SR approaches usually apply to only one fixed resolution scale, and thus unable to adjust their output dimension without changing the low-resolution input. Such design creates a huge gap between academic research and practical usage, and a majority of image up-sampling applications, even sensitive to precision, still heavily relied on bicubic interpolation despite its poor quality.
HighRes net - Jupyter Notebook
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Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. Pytorch implementation of HighRes-net, a neural network for multi frame super-resolution (MFSR), trained and tested on the European Space Agency’s Kelvin competition.
Msgbox rs - Rust
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msgbox - Simple, cross-platform message box GUI library. All it does is to show a message box modal with a OK button, which runs synchronously. All the other jobs stop until the user responds. It runs fine with OpenGL windows already open. It supports multi-platform, and maintains separate dependencies per platform, thus light-weight. Synchronous Message Modal Multi-platform (Linux GTK3+, Windows and OSX) Light-weight. msgbox-rs OS Build Status Linux & OS X Windows extern crate msgbox;
use msgbox::IconType;
fn main() {
msgbox::create("Hello Title", "Hello World
Xarray spatial
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? xarray-spatial: Raster-Based Spatial Analysis in Python. Xarray-Spatial implements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis.
Dualnback - JavaScript
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In n-back task you need to remember n previous spatial or auditory stimuli. N-back is a memory test where n refers on how many previous stimuli must be remembered. Dual means that verbal auditory stimulus and spatial visual stimulus are presented at the same time and must be remembered separately. Dual N-Back In n-back task you need to remember n previous spatial or auditory stimuli. N-back is a memory test where n refers on how many previous st
VideoEnhance - GLSL
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super resolution, denoise, low light enhance, Video Frame Interpolation. AI-video-enhance This repository is a set of open-source, high-quality real-time video enhance algorithms that can be implemented in any programming l
Multi temporal super resolution - Jupyter Notebook
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Multi-temporal Super-Resolution on Sentinel-2 Imagery using Deimos . This repo contains code to train a multitemporal super-resolution model for Sentinel-2 imagery using Deimos.
TransMEF
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Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning. Code will be available soon. Official-PyTorch-Implementation-of-TransMEF Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fu
HRNet Object Detection - Python
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Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919. Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
Srgan - Python
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.
Super Resolution Examples
We run this script under TensorFlow 2.0 and the TensorLayer 2.0+. For TensorLayer 1.4 version, please check release.
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