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ease
features
design
support

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Description

DreamActor-M1 represents a cutting-edge diffusion transformer architecture specifically engineered to produce lifelike human animations from just one image. This innovative framework allows for precise manipulation of both facial expressions and bodily movements, demonstrating versatility across various scales from close-up portraits to comprehensive full-body animations. It excels in preserving temporal consistency in extended video sequences, maintaining coherence even in parts that are not evident in the input images. By integrating a hybrid approach to motion guidance that includes implicit facial models, 3D head spheres, and skeletal representations, it offers advanced control over animation intricacies. Additionally, it employs complementary appearance guidance that utilizes multi-frame references to ensure uniformity in areas that are not directly visible. The development process follows a progressive three-stage training approach, initially focusing on body skeletons and head spheres, then incorporating facial representations, and finally optimizing all elements for the best performance. This meticulous training strategy ultimately enhances the overall quality and realism of the generated animations.

Description

The Model Predictive Control Toolbox™ offers a comprehensive suite of functions, an intuitive app, Simulink® blocks, and practical reference examples to facilitate the development of model predictive control (MPC) systems. It caters to linear challenges by enabling the creation of implicit, explicit, adaptive, and gain-scheduled MPC strategies. For more complex nonlinear scenarios, users can execute both single-stage and multi-stage nonlinear MPC. Additionally, this toolbox includes deployable optimization solvers and permits the integration of custom solvers. Users can assess the effectiveness of their controllers through closed-loop simulations in MATLAB® and Simulink environments. For applications in automated driving, the toolbox also features MISRA C®- and ISO 26262-compliant blocks and examples, allowing for a swift initiation of projects related to lane keep assist, path planning, path following, and adaptive cruise control. You have the capability to design implicit, gain-scheduled, and adaptive MPC controllers that tackle quadratic programming (QP) problems, and you can generate an explicit MPC controller derived from an implicit design. Furthermore, the toolbox supports discrete control set MPC for handling mixed-integer QP challenges, thus broadening its applicability in diverse control systems. With these extensive features, the toolbox ensures that both novice and experienced users can effectively implement advanced control strategies.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$1,180 per year
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

ByteDance

Founded

2012

Country

China

Website

dreamactor.org

Vendor Details

Company Name

MathWorks

Country

United States

Website

www.mathworks.com/products/model-predictive-control.html

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