Imaginaire - NVIDIA's Deep Imagination Team's PyTorch Library

Related tags

Deep Learningimaginaire
Overview

imaginaire_logo.svg

Imaginaire

Docs | License | Installation | Model Zoo

Imaginaire is a pytorch library that contains optimized implementation of several image and video synthesis methods developed at NVIDIA.

License

Imaginaire is released under NVIDIA Software license. For commercial use, please consult NVIDIA Research Inquiries.

What's inside?

IMAGE ALT TEXT

We have a tutorial for each model. Click on the model name, and your browser should take you to the tutorial page for the project.

Supervised Image-to-Image Translation

Algorithm Name Feature Publication
pix2pixHD Learn a mapping that converts a semantic image to a high-resolution photorealistic image. Wang et. al. CVPR 2018
SPADE Improve pix2pixHD on handling diverse input labels and delivering better output quality. Park et. al. CVPR 2019

Unsupervised Image-to-Image Translation

Algorithm Name Feature Publication
UNIT Learn a one-to-one mapping between two visual domains. Liu et. al. NeurIPS 2017
MUNIT Learn a many-to-many mapping between two visual domains. Huang et. al. ECCV 2018
FUNIT Learn a style-guided image translation model that can generate translations in unseen domains. Liu et. al. ICCV 2019
COCO-FUNIT Improve FUNIT with a content-conditioned style encoding scheme for style code computation. Saito et. al. ECCV 2020

Video-to-video Translation

Algorithm Name Feature Publication
vid2vid Learn a mapping that converts a semantic video to a photorealistic video. Wang et. al. NeurIPS 2018
fs-vid2vid Learn a subject-agnostic mapping that converts a semantic video and an example image to a photoreslitic video. Wang et. al. NeurIPS 2019

World-to-world Translation

Algorithm Name Feature Publication
wc-vid2vid Improve vid2vid on view consistency and long-term consistency. Mallya et. al. ECCV 2020
GANcraft Convert semantic block worlds to realistic-looking worlds. Hao et. al. ICCV 2021
Owner
NVIDIA Research Projects
NVIDIA Research Projects
GitHub Repository
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561

Meta-Solver for Neural Ordinary Differential Equations Towards robust neural ODEs using parametrized solvers. Main idea Each Runge-Kutta (RK) solver w

Julia Gusak 25 Aug 12, 2021
Official implementation of the paper 'High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network' in CVPR 2021

LPTN Paper | Supplementary Material | Poster High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network Ji

372 Dec 26, 2022
ISTR: End-to-End Instance Segmentation with Transformers (https://arxiv.org/abs/2105.00637)

This is the project page for the paper: ISTR: End-to-End Instance Segmentation via Transformers, Jie Hu, Liujuan Cao, Yao Lu, ShengChuan Zhang, Yan Wa

Jie Hu 182 Dec 19, 2022
Smart edu-autobooking - Johnson @ DMI-UNICT study room self-booking system

smart_edu-autobooking Sistema di autoprenotazione per l'aula studio [email protected]

Davide Carnemolla 17 Jun 20, 2022
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

Ian Pointer 368 Dec 17, 2022
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Yulun Zhang 1.2k Dec 26, 2022
this is a lite easy to use virtual keyboard project for anyone to use

virtual_Keyboard this is a lite easy to use virtual keyboard project for anyone to use motivation I made this for this year's recruitment for RobEn AA

Mohamed Emad 3 Oct 23, 2021
This package implements the algorithms introduced in Smucler, Sapienza, and Rotnitzky (2020) to compute optimal adjustment sets in causal graphical models.

optimaladj: A library for computing optimal adjustment sets in causal graphical models This package implements the algorithms introduced in Smucler, S

Facundo Sapienza 6 Aug 04, 2022
A Japanese Medical Information Extraction Toolkit

JaMIE: a Japanese Medical Information Extraction toolkit Joint Japanese Medical Problem, Modality and Relation Recognition The Train/Test phrases requ

7 Dec 12, 2022
Semantic Image Synthesis with SPADE

Semantic Image Synthesis with SPADE New implementation available at imaginaire repository We have a reimplementation of the SPADE method that is more

NVIDIA Research Projects 7.3k Jan 07, 2023
Computing Shapley values using VAEAC

Shapley values and the VAEAC method In this GitHub repository, we present the implementation of the VAEAC approach from our paper "Using Shapley Value

3 Nov 23, 2022
LAMDA: Label Matching Deep Domain Adaptation

LAMDA: Label Matching Deep Domain Adaptation This is the implementation of the paper LAMDA: Label Matching Deep Domain Adaptation which has been accep

Tuan Nguyen 9 Sep 06, 2022
Vanilla and Prototypical Networks with Random Weights for image classification on Omniglot and mini-ImageNet. Made with Python3.

vanilla-rw-protonets-project Vanilla Prototypical Networks and PNs with Random Weights for image classification on Omniglot and mini-ImageNet. Made wi

Giovani Candido 8 Aug 31, 2022
PyTorch implementation of Trust Region Policy Optimization

PyTorch implementation of TRPO Try my implementation of PPO (aka newer better variant of TRPO), unless you need to you TRPO for some specific reasons.

Ilya Kostrikov 366 Nov 15, 2022
MLOps will help you to understand how to build a Continuous Integration and Continuous Delivery pipeline for an ML/AI project.

page_type languages products description sample python azure azure-machine-learning-service azure-devops Code which demonstrates how to set up and ope

1 Nov 01, 2021
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

DeepCTR DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can

浅梦 6.6k Jan 08, 2023
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

Simple and Deep Graph Convolutional Networks This repository contains a PyTorch implementation of "Simple and Deep Graph Convolutional Networks".(http

chenm 253 Dec 08, 2022
A cool little repl-based simulation written in Python

A cool little repl-based simulation written in Python planned to integrate machine-learning into itself to have AI battle to the death before your eye

Em 6 Sep 17, 2022
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

1.1k Jan 03, 2023
Open & Efficient for Framework for Aspect-based Sentiment Analysis

PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis Fast & Low Memory requirement & Enhanced implementation of Local Context F

YangHeng 567 Jan 07, 2023