Text2Human

Visit Tool

Text2Human is an open-source image generation tool that provides a PyTorch implementation for text-driven controllable human image generation. It allows users to generate human images based on detailed text descriptions of clothing and appearance.

Claim this tool

No Views Yet

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Text2Human?

Text2Human is an official PyTorch implementation for text-driven controllable human image generation, as presented in the SIGGRAPH 2022 paper. This open-source tool enables users to create human images by providing text descriptions that specify clothing shapes and textures. It includes a comprehensive framework for training and sampling, utilizing a large-scale, high-quality DeepFashion-MultiModal Dataset with rich multi-modal annotations. Researchers and developers can leverage its capabilities for tasks like generating images from parsing maps or human poses, and it offers a user interface for interactive text-to-human image generation. The project also provides pretrained models and detailed installation instructions, making it a valuable resource for AI research in computer graphics.

Best used for

Ideal for professors and researchers who need to experiment with text-driven human image generation, explore controllable image synthesis from various inputs like parsing maps and poses, and develop new models in computer graphics. Especially valuable for academic research and development in AI.

Common actions

generate human images

control image attributes

research image generation

synthesize human figures

workflowsopen-sourcegithub copilotdeepfake"AI Agents"automated workflowface swappinglow-code/no-codecollaboration

Capabilities

Key features

Text-driven human image generation
Generate from parsing maps
Generate from human poses
Controllable clothing attributes
DeepFashion-MultiModal Dataset
PyTorch implementation

Target Audience

professor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of text descriptions can Text2Human process for image generation?

Text2Human can process descriptions for clothing shapes, including gender, sleeve length, lower clothing length, and outer clothing type. It also supports specific texture types like pure color, stripe/spline, plaid/lattice, floral, and denim for upper, lower, and outer garments.

Does Text2Human provide a dataset for training?

Yes, Text2Human contributes the DeepFashion-MultiModal Dataset, a large-scale, high-quality human dataset with rich multi-modal annotations. It includes 44,096 high-resolution images with detailed annotations for human parsing, keypoints, DensePose, and clothing attributes.

Can I use Text2Human to generate images without language interactions?

Yes, you can generate images from given parsing maps or human poses and pre-defined clothing shape and texture annotations without direct text input. The user interface, however, allows for text-driven generation.

Trending

Subcategories trending in Content & Design

AI Writing Assistants Audio & Music Video Generation Photo Editing Graphic Design Video Editing

Trending

Also listed in

This tool also appears in

Research & Education › Academic Research Coding & Development › Open Source & Models Research & Education › Scientific Computing

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce