Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Creating visual content that aligns with user requirements often necessitates a high degree of flexibility and precision in managing the pose, shape, expression, and arrangement of the generated elements. Traditional methods enhance the controllability of generative adversarial networks (GANs) by relying on manually labeled training datasets or pre-existing 3D models, which frequently fall short in terms of flexibility, accuracy, and adaptability. In this research, we explore a powerful yet relatively underutilized technique for controlling GANs, which allows users to "drag" specific points in an image to accurately reach designated target locations through interactive engagement, as illustrated in Fig.1. Our proposed solution, DragGAN, comprises two primary components: first, a feature-based motion supervision system that guides the handle point toward the intended position; and second, an innovative point tracking method that utilizes the discriminative features of GANs to continuously identify the handle points' locations. With DragGAN, users gain the capability to manipulate images with exceptional precision in directing pixel movements, thereby facilitating a more intuitive and user-centered design process. This approach not only enhances creative possibilities but also empowers users to achieve their desired visual outcomes more effectively.
Description
Wan AI serves as a hub for discovery and inspiration, showcasing a carefully curated selection of AI-generated videos and images contributed by the community, complete with the prompts and configurations utilized in their creation. Users can explore a diverse array of outputs, including cinematic sequences, animations, and unique visuals, which illustrate the capabilities of Wan’s models while also demonstrating how various prompts, styles, and parameters can influence the final results. Each piece of content is generally accompanied by its corresponding prompt or input, allowing users the opportunity to replicate, alter, or enhance existing works as a foundation for their own creative endeavors. This interactive environment significantly aids the creative process by simplifying the learning experience, providing valuable references for prompt engineering, and enabling users to quickly discover styles, compositions, and techniques that align with their artistic aspirations. By fostering a collaborative atmosphere, Wan AI empowers individuals to experiment freely and build upon the community's collective knowledge.
API Access
Has API
API Access
Has API
Integrations
Dovoo AI
Wan2.1
Wan2.2
Wan2.2-Animate
Wan2.5
Wan2.6
Wan2.7-Image
Integrations
Dovoo AI
Wan2.1
Wan2.2
Wan2.2-Animate
Wan2.5
Wan2.6
Wan2.7-Image
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DragGAN
Founded
2023
Website
vcai.mpi-inf.mpg.de/projects/DragGAN/
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
create.wan.video/explore