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softras

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

songdriver2-real-time-emotion-based-music-arrangement-with-soft-transition

SongDriver2 achieves a balance between real-time emotion fit and soft transitions, enhancing the coherence of the generated music.

soundfingerprinting

Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.

spadnet

SPADnet: Deep RGB-SPAD Sensor Fusion Assisted by Monocular Depth Estimation

spaq

Official SPAQ & Implementation

sparse-to-continuous

ICAR 2019 "Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps"

sparse-winograd-cnn

Efficient Sparse-Winograd Convolutional Neural Networks

sparsecodingsuperresolution

sparseconvnet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

sparseconvnet-cpu

A CPU version of SparseConvNet

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

sparser-cnn

End-to-End Object Detection with Learnable Proposal

spectnt-pytorch

Unofficial implementation of SpecTNT in pytorch

sphereface

Deep face recognition pipeline with SphereFace (Caffe).

sphericalviewsynthesis

Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019

spl

Spatial Profile Loss for Image Translations

splatt

The Surprisingly ParalleL spArse Tensor Toolkit.

splitbrainauto

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CVPR 2017.

splitnet-wrn

Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization

spmc_videosr

Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738

spmp

sparse matrix pre-processing library

spmv

This is a tuned sparse matrix dense vector multiplication(SpMV) library

spnet

Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"

spot

SPOT: Sliced Partial Optimal Transport

spottune

SpotTune: Transfer Learning through Adaptive Fine-tuning

spread-out_local_feature_descriptor

Code for Learning Spread-out Local Feature Descriptors

spsr

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)

sr-lut

srflow

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network