100 results for “topic:upsampling”
A High-Quality Real Time Upscaler for Anime Video
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
XAI - An eXplainability toolbox for machine learning
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
基于Anime4K-WebGPU的实时视频超分辨率浏览器扩展 | Real-time video super-resolution browser extension based on Anime4K
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)
Easily run SqueezeLite with Alsa or PulseAudio output with Docker. Bluetooth support. Upsampling 2x 4x 8x with settings by Archimago
Checkerboard rendering with Magnum and OpenGL
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
Video player with the function of improving the quality of the hand-drawn image using the high-performance scaling algorithm of Anime4K
Easily run mpd with Alsa or PulseAudio output with Docker. Upsampling 2x 4x 8x with 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
Implementation of Anime4K in Go.
An implementation of Anime4K in Python.
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”
hq2x scaling algorithm updated to support RGBA
PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation
Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"
Anime4K implemented in C#
Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). :sunflower:
Up-sampling and denoising signals using a deep neural network model
FastWave is a lightweight diffusion model for general audio super-resolution (any -> 48 kHz). SOTA quality reconstruction metrics with just 1.3 M parameters and ~50 GFLOPs
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.
BEGANSing - Korean SVS + SVC + AudioSR