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

Jupyter notebook tutorials for mmgeneration

SOTA Semantic Segmentation Models in PyTorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

High-Resolution Image Synthesis with Latent Diffusion Models

Real-Time High-Resolution Background Matting

Synthesizing and manipulating 2048x1024 images with conditional GANs

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

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

PlenOctrees: NeRF-SH Training & Conversion

Conformer: Convolution-augmented Transformer for Speech Recognition

Visualizer for neural network, deep learning, and machine learning models

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

This Matlab package solves the linear regression and logistic regression in a distributed fashion.

Image-to-Image Translation in PyTorch

PyTorch implementations of Generative Adversarial Networks.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

Background Matting: The World is Your Green Screen

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.