peterzs Goto Github PK

sqem

Standalone Spherical Quadric Error Metric implementation, introduced with Sphere-Meshes (Jean-Marc Theiry, Emilie Guy and Tamy Boubekeur, ACM SIGGRAPH Asia 2013).

squashy_skinning

srec

PyTorch Implementation of "Lossless Image Compression through Super-Resolution"

srez

Image super-resolution through deep learning

srfbn_cvpr19

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

srgan

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

srmeetsps

Source code for our paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"

srntt

Image Super-Resolution by Neural Texture Transfer

ss-gmm

Implementation of ICCV 2021 oral paper -- A Novel Self-Supervised Learning for Gaussian Mixture Model

ss-tad

End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos (Official Repo for SS-TAD)

ssdr

An implementation of "Smooth Skinning Decomposition with Rigid Bones" (SIGGRAPH ASIA 2012).

ssg

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification, ICCV 2019 (Oral)

ssis

Instance Shadow Detection with A Single-Stage Detector [SSIS & SSISv2] (CVPR 2021 Oral & TPAMI 2022)

ssl-for-medical-segmentation

This repository is an unoffical PyTorch implementation of Semi-Supervised Learning on Medical Segmentation in 2D and 3D.

ssp-nerf

Code for "Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation" (ECCV 2022).

st-nerf

PyTorch implementations for our SIGGRAPH 2021 paper: Editable Free-viewpoint Video Using a Layered Neural Representation.

stability-aware-simplification-of-curve-networks

stanforddoggoproject

star

ECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor

stargan

PyTorch Implementation of StarGAN - CVPR 2018

stargan-v2

StarGAN v2 - Official PyTorch Implementation

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

statespacemodels

Mini-course (lecture set) on State Space Models.

statismo

Framework for building Statistical Image And Shape Models

steady-state-non-line-of-sight-imaging

sted-gaze

Code for paper 'Self-learning Transformations for Improving Gaze and Head Redirection'

step

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

steppingstone

ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills (SCA 2020)

stereo-calibration

:camera: :camera: Stereo camera calibration using OpenCV and C++

stereo-from-mono

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks