What's DreamActor-H1

AI-Powered Human-Product Video Generation

Create high-fidelity, realistic demonstration videos from a single image. Preserve identity, ensure natural motion, and revolutionize e-commerce advertising.

The Future of Product Demonstration

DreamActor-H1 addresses critical challenges in digital marketing by generating high-fidelity videos that maintain perfect human and product identity.

In e-commerce and digital marketing, generating compelling human-product demonstration videos is crucial for effective product presentation. However, existing frameworks often struggle to preserve the identities of both humans and products, or they misunderstand spatial relationships, resulting in unrealistic representations and unnatural interactions.

The DreamActor-H1 framework, based on Diffusion Transformer (DiT) architecture, overcomes these hurdles. The method simultaneously preserves human identities and product-specific details—like logos and textures—by injecting paired reference information and utilizing an advanced masked cross-attention mechanism. This ensures that the person and product in the video are exactly as intended, creating authentic and trustworthy marketing content.

Method Overview

A look at the innovative architecture that powers DreamActor-H1.

DreamActor-H1 Method Overview Diagram

The DreamActor-H1 framework is built upon a powerful Diffusion Transformer (DiT) architecture. The process begins by using a Vision-Language Model (VLM) to describe the human and product images. Pose estimation and product bounding boxes are extracted from training data to provide precise motion guidance, enabling intuitive alignment of hand gestures with product placements.

During training, human pose and product bounding box data are combined with video noise to guide motion. Encoded human and product images provide appearance guidance. Text descriptions enhance material quality and 3D consistency. The DiT model uses stacks of full, reference, and object attention to produce high-quality, coherent videos that masterfully handle identity, motion, and spatial relationships.

Superior Performance

Compared to state-of-the-art methods, DreamActor-H1 generates results with superior identity preservation, temporal consistency, and overall fidelity.

Ablation Study

This study highlights the importance of each component, comparing the full model against versions without text input and object attention.