There are 6 repositories under upsampling topic.
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
Anime upscaler GUI application based on Anime4K shaders which allows to save upscaled video to disk
An AviSynth+ implementation of some Super-Resolution Convolutional Neural Networks.
Tensorflow implementation : U-net and FCN with global convolution
The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
Easily run SqueezeLite with Alsa or PulseAudio output with Docker. Bluetooth support. Upsampling 2x 4x 8x with "Goldilocks" settings by Archimago
Easily run mpd with Alsa or PulseAudio output with Docker. Upsampling 2x 4x 8x with "Goldilocks" settings by Archimago. Scrobbling support.
Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"
Upsampling method for an input cloud using mls method of PCL
Video player with the function of improving the quality of the hand-drawn image using the high-performance scaling algorithm of Anime4K
DeepLearningで音楽をアップサンプリングします
A PyTorch implementation of CARAFE based on ICCV 2019 paper “CARAFE: Content-Aware ReAssembly of FEatures”
Anime4K implemented in C#
An implementation of Anime4K in Python.
Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"
Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). :sunflower:
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.
BEGANSing - Korean SVS + SVC + AudioSR
Various image filters and Guided Joint bilateral filter for guided image upsampling
Up-sampling and denoising signals using a deep neural network model
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.
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
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]
Native bindings to libsamplerate
Experimental port of Anime4K to metal