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sin3dgen

sketch2cad

sknet

Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223

sknet-tensorflow

Simple tensorflow implementation of "Selective Kernel Networks"

slim

Interoperable web-based slide microscopy viewer and annotation tool

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

smae

This is the code for "Learning Sentiment Memories for Sentiment Modification without Parallel Data".

social-nce

[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.

soho

[CVPR'21 Oral] Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning

spatiotemporalsegmentation

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

spconv

Spatial Sparse Convolution Library

spfn

Source code for "Supervised Fitting of Geometric Primitives to 3D Point Clouds [CVPR2019]".

sphereformer

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

spinnet

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

srcn3d

Official implementation of SRCN3D: Sparse R-CNN 3D Surround-View Cameras 3D Object Detection and Tracking for Autonomous Driving

sst

Paper and Codes for “Embracing Single Stride 3D Object Detector with Sparse Transformer” (CVPR 2022)

stable-diffusion

A latent text-to-image diffusion model

stable-diffusion-v2

stable-dreamfusion

A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.

steal

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

stpls3d

🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation

stratified-transformer

Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)

structured3d

[ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

structurenet

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

stylegan_xl

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

suma

Surfel-based Mapping for 3d Laser Range Data (SuMa)

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

superglue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

supergluepretrainednetwork

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