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stylegan-nada

stylegan2

StyleGAN2 - Official TensorFlow Implementation

styleguide

Style guides for Google-originated open-source projects

styletransfer

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch

stylized-neural-painting

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

sublime-docker

A Sublime Text plugin to use Docker Language Stacks as build systems

suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

suo_slam

Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation

super-fast-accurate-3d-object-detection

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

super_resolution_with_cnns_and_gans

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

superduperkartinggame

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

superimpose-mesh-lib

A C++ augmented-reality library to superimpose 3D objects on images.

superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

superpixel_crfasrnn

This is the implementation of superpixel-enhanced crfasrnn based on previous crfasrnn implemented in TensorFlow

superpixels-revisited

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

superpixels-segmentation-gui-opencv

Superpixels segmentation algorithms with QT and OpenCV, with a nice GUI to colorize the cells

superpoint

Efficient neural feature detector and descriptor

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

superpointpretrainednetwork

superviseddescent

C++11 implementation of the supervised descent optimisation method

supervision

We write your reusable computer vision tools. 💜

susa

Signal Processing and Communications Framework

svoice

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

svox2

Plenoxels: Radiance Fields without Neural Networks, Code release WIP

sweep-3d-scanner

Node web application for controlling an open source 3D scanner.

sweep-3d-scanner-unity-viewer

A simple unity project to view scans created by the open source 3D scanner project

swiftshader

SwiftShader is a high-performance CPU-based implementation of the Vulkan graphics API. Its goal is to provide hardware independence for advanced 3D graphics.

swig

SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".