Systems and methods for image compositing
The image generation system uses descriptive embeddings to enhance the realism and integration of objects into backgrounds, addressing the limitations of conventional methods by preserving object identity and improving geometric consistency.
Patent Information
- Authority / Receiving Office
- AU · AU
- Patent Type
- Applications
- Current Assignee / Owner
- ADOBE INC
- Filing Date
- 2024-05-08
- Publication Date
- 2026-07-09
AI Technical Summary
Conventional image generation systems struggle to realistically composite objects from one image into another, particularly with non-rigid objects, as text prompts are insufficient for capturing detailed object information, and existing diffusion models lack versatility in handling multiple image compositing tasks.
An image generation system that uses an adapter network to translate image embeddings into descriptive embeddings, which are then used by an image generation model to create composite images, preserving object identity and appearance while harmonizing with the background, and incorporating elements like shadows and lighting.
The system generates composite images with enhanced realism and versatility, effectively integrating objects into backgrounds with consistent geometry and lighting, outperforming conventional methods by maintaining object identity and improving generation quality.
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