A unified 3D Transformer Pipeline for visual synthesis

Last update: Jan 03, 2023

Related tags

Overview

This is the official repo for the paper: "NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion".

NÜWA is a unified multimodal pre-trained model that can generate new or manipulate existing visual data (i.e., images and videos) for 8 visual synthesis tasks (as shown above).

Samples

Text-To-Image (T2I)

SKetch-to-Image (S2I)

Image Completion (I2I)

Text-Guided Image Manipulation (TI2I)

Text-to-Video(T2V)

Video Prediction (V2V)

Sketch-to-Video (S2V)

Text-Guided Video Manipulation (TV2V)

Owner

Microsoft

Open source projects and samples from Microsoft

GitHub Repository

QueryFuzz implements a metamorphic testing approach to test Datalog engines.

Datalog is a popular query language with applications in several domains. Like any complex piece of software, Datalog engines may contain bugs. The mo

34 Sep 10, 2022

Dynamic vae - Dynamic VAE algorithm is used for anomaly detection of battery data

Dynamic VAE frame Automatic feature extraction can be achieved by probability di

10 Oct 07, 2022

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Intro Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In

6.1k Dec 30, 2022

Confident Semantic Ranking Loss for Part Parsing

5 Oct 22, 2022

PyTorch implementation of DeepDream algorithm

neural-dream This is a PyTorch implementation of DeepDream. The code is based on neural-style-pt. Here we DeepDream a photograph of the Golden Gate Br

121 Nov 05, 2022

Boundary-aware Transformers for Skin Lesion Segmentation

Boundary-aware Transformers for Skin Lesion Segmentation Introduction This is an official release of the paper Boundary-aware Transformers for Skin Le

79 Dec 16, 2022

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Code for “Efficient Sharpness-aware Minimization for Improved Training

32 Oct 18, 2022

Make your AirPlay devices as TTS speakers

Apple AirPlayer Home Assistant integration component, make your AirPlay devices as TTS speakers. Before Use 2021.6.X or earlier Apple Airplayer compon

117 Dec 15, 2022

tmm_fast is a lightweight package to speed up optical planar multilayer thin-film device computation.

tmm_fast tmm_fast or transfer-matrix-method_fast is a lightweight package to speed up optical planar multilayer thin-film device computation. It is es

26 Dec 11, 2022

We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will make a program to Crack Any Password Using Python. Show some ❤️ by starring this repository!

Crack Any Password Using Python We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will

11 Dec 03, 2022

Neural Motion Learner With Python

Neural Motion Learner Introduction This work is to extract skeletal structure from volumetric observations and to learn motion dynamics from the detec

14 Nov 28, 2022

Powerful unsupervised domain adaptation method for dense retrieval.

Powerful unsupervised domain adaptation method for dense retrieval

191 Dec 28, 2022

A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maximum bidding

Business Problem A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maxim

1 Jan 15, 2022

A python interface for training Reinforcement Learning bots to battle on pokemon showdown

The pokemon showdown Python environment A Python interface to create battling pokemon agents. poke-env offers an easy-to-use interface for creating ru

184 Dec 30, 2022

unofficial pytorch implementation of RefineGAN

RefineGAN unofficial pytorch implementation of RefineGAN (https://arxiv.org/abs/1709.00753) for CSMRI reconstruction, the official code using tensorpa

5 Jul 21, 2022

Hierarchical-Bayesian-Defense - Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview)

Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical V

20 Dec 02, 2022

A unified 3D Transformer Pipeline for visual synthesis

Related tags

Overview

Overview

Samples

Text-To-Image (T2I)

SKetch-to-Image (S2I)

Image Completion (I2I)

Text-Guided Image Manipulation (TI2I)

Text-to-Video(T2V)

Video Prediction (V2V)

Sketch-to-Video (S2V)

Text-Guided Video Manipulation (TV2V)

Owner

Microsoft

QueryFuzz implements a metamorphic testing approach to test Datalog engines.

Dynamic vae - Dynamic VAE algorithm is used for anomaly detection of battery data

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Confident Semantic Ranking Loss for Part Parsing

PyTorch implementation of DeepDream algorithm

Boundary-aware Transformers for Skin Lesion Segmentation

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Make your AirPlay devices as TTS speakers

tmm_fast is a lightweight package to speed up optical planar multilayer thin-film device computation.

We will see a basic program that is basically a hint to brute force attack to crack passwords. In other words, we will make a program to Crack Any Password Using Python. Show some ❤️ by starring this repository!

Neural Motion Learner With Python

Powerful unsupervised domain adaptation method for dense retrieval.

A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maximum bidding

A python interface for training Reinforcement Learning bots to battle on pokemon showdown

unofficial pytorch implementation of RefineGAN

Hierarchical-Bayesian-Defense - Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview)

Extreme Rotation Estimation using Dense Correlation Volumes

Fast (simple) spectral synthesis and emission-line fitting of DESI spectra.

Bu repo SAHI uygulamasını mantığını öğreniyoruz.

DLFlow is a deep learning framework.