A unified 3D Transformer Pipeline for visual synthesis

Last update: Jan 06, 2023

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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

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Advances in Neural Information Processing Systems (NeurIPS), 2020.

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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

Scalable Graph Neural Networks for Heterogeneous Graphs

MADT: Offline Pre-trained Multi-Agent Decision Transformer

T2F: text to face generation using Deep Learning

RaceBERT -- A transformer based model to predict race and ethnicty from names

Continuous Diffusion Graph Neural Network

Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process

source code and pre-trained/fine-tuned checkpoint for NAACL 2021 paper LightningDOT

The Adapter-Bot: All-In-One Controllable Conversational Model

Learned Initializations for Optimizing Coordinate-Based Neural Representations

网络协议2天集训

Trajectory Prediction with Graph-based Dual-scale Context Fusion

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification".

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning

A library to inspect itermediate layers of PyTorch models.

Advances in Neural Information Processing Systems (NeurIPS), 2020.

DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.

FwordCTF 2021 Infrastructure and Source code of Web/Bash challenges

Official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.

PSPNet in Chainer