upsampling
There are 76 repositories under upsampling topic.
bloc97/Anime4K
A High-Quality Real Time Upscaler for Anime Video
GeorgeSeif/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
maum-ai/nuwave
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
maum-ai/nuwave2
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
Alexkral/AviSynthAiUpscale
An AviSynth+ implementation of some Super-Resolution Convolutional Neural Networks.
preritj/segmentation
Tensorflow implementation : U-net and FCN with global convolution
HolmesShuan/Location-aware-Upsampling-for-Semantic-Segmentation
The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
abdo-eldesokey/RAFT-NCUP
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
mikigal/Anime4K-GUI
GUI application for Anime4K shaders which allows to save upscaled video to disk
pezcode/mosaiikki
Checkerboard rendering with Magnum and OpenGL
GioF71/squeezelite-docker
Easily run SqueezeLite with Alsa or PulseAudio output with Docker. Bluetooth support. Upsampling 2x 4x 8x with "Goldilocks" settings by Archimago
shizenglin/Unsharp-Mask-Guided-Filtering
Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"
dtcMLOps/upsamplingCloudPCL
Upsampling method for an input cloud using mls method of PCL
GINK03/keras-rnn-music-super-resolution
DeepLearningで音楽をアップサンプリングします
GioF71/mpd-alsa-docker
Easily run mpd with Alsa or PulseAudio output with Docker. Upsampling 2x 4x 8x with "Goldilocks" settings by Archimago. Scrobbling support.
TianZerL/Anime4KGo
Implementation of Anime4K in Go.
kornelski/rgba-hq2x
hq2x scaling algorithm updated to support RGBA
shadow578/Anime4kSharp
Anime4K implemented in C#
TianZerL/Anime4KPython
An implementation of Anime4K in Python.
leftthomas/CARAFE
A PyTorch implementation of CARAFE based on ICCV 2019 paper “CARAFE: Content-Aware ReAssembly of FEatures”
Communist02/AnimePlayer
Video player with the function of improving the quality of the hand-drawn image using the high-performance scaling algorithm of Anime4K
apusmog/apusmog
Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"
ORI-Muchim/BEGANSing
BEGANSing - Korean SVS + SVC + AudioSR
nyakasko/ImageFiltersAndUpsampling
Various image filters and Guided Joint bilateral filter for guided image upsampling
phiyodr/multilabel-oversampling
Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). :sunflower:
rikhuijzer/Resample.jl
An implementation of SMOTE
artisan1218/Recommendation-System
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
NSCC-COGS/Aestheta
An Industrial Think Tank Focused on Developing and Promoting AI Technology for Geospatial Applications [Please note this group was formed as an academic exercise for educational purposes and does not represent a real world organization]
ky-zhou/ZSPU
[ICME 2022]: "Zero-Shot" Point Cloud Upsampling
morsingher/jbu_cuda
Joint Bilateral Upsampling with C++ and CUDA
sekilab/WindSR_Dataset
WindSR Dataset contains more than 22,000 pairs of HR/LR wind speed images, which are processed using the NASA's GEOS-5 Nature Run dataset. This dataset is useful for studying super-resolution for data collected using satellites rather natural RGB images.
SuperMarcus/Anime4KMetal.Playground
Experimental port of Anime4K to metal
dmooney65/node-libsamplerate
Native bindings to libsamplerate
Haleshot/Image_Processing
A project on Image Processing, leveraging PyQt5 for a user-friendly GUI and implementing essential operations like Low Pass Filter, Downsampling, Upsampling, Thresholding, and Negative Image Generation. It offers a visually engaging experience while exploring the realm of image processing techniques.
zenetio/follow-me-deeplearning
Drone using Fully Convolutional Network