openseg-group Goto Github PK

ocnet.pytorch

Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

omeganet

Distilled Semantics for Comprehensive Scene Understanding from Videos [CVPR 2020]

omnimatte

openseg.pytorch

The official Pytorch implementation of OCNet series and SegFix.

packnet-sfm

TRI-ML Monocular Depth Estimation Repository

pacnet

Pixel-Adaptive Convolutional Neural Networks (CVPR '19)

panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

panoptic_parts

This repository contains tools for reading, processing, and visualizing Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets.

pifuhd

High-Resolution 3D Human Digitization from A Single Image.

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

rankseg

[ECCV2022] This is an official implementation of paper "RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation".

seamseg

Seamless Scene Segmentation

semseg

Semantic Segmentation in Pytorch

shellnet

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

slowfast

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

solo

SOLO and SOLOv2 for instance segmentation.

stylegan

StyleGAN - Official TensorFlow Implementation

superpixel-benchmark

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

tinyrenderer

A brief computer graphics / rendering course

trax

Trax — your path to advanced deep learning

unsup3d

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

unsupervised-image-segmentation

Finding an Unsupervised Image Segmenter in each of your Deep Generative Models

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

vince

Video Noise Contrastive Estimation

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.