Problem
Research questions and friction points this paper is trying to address.
image editing
generative AI
user-centric design
zero-shot editing
cost-effective
EPEdit: Redefining Image Editing with Generative AI and User-Centric Design
🤖 AI Summary
Existing generative image editing methods often rely on retraining or fine-tuning, which incurs high computational costs and operational complexity. This work proposes EPEdit, a zero-shot image editing system that requires no fine-tuning and uniquely integrates the zero-shot editing capabilities of Stable Diffusion with an intuitive interactive design, supporting diverse editing tasks guided by text prompts and user-provided masks. Built upon a lightweight client-server architecture, EPEdit maintains computational efficiency while substantially lowering the barrier to entry for end users. User studies demonstrate that EPEdit consistently outperforms existing tools in terms of editing quality, subject consistency, and overall performance, offering both usability and efficiency.
📝 Abstract
The demand for image manipulation has seen a significant increase recently. Traditional tools like Photoshop and Capture One, while powerful, require considerable expertise to use effectively. Generative AI has introduced alternative platforms, such as Luminar Neo, Pixlr X, and Canva. However, many of these solutions, including resource-heavy models like Stable Diffusion, often require substantial retraining and fine-tuning, leading to high costs for users. To address these challenges, we introduce Efficient Photo Editor (EPEdit), an application that integrates a robust backend framework with a user-friendly front-end interface. EPEdit supports a wide range of creative image editing tasks, including image generation, object replacement, object removal, background modification, changes in object pose or perspective, region-specific editing, and thematic collection design, all guided by masks and prompts. Users can interact with the system through simple text commands or by marking areas for precise adjustments, making it accessible even to those without technical expertise. At its core, EPEdit leverages zero-shot image editing algorithms based on Stable Diffusion model, removing the need for additional fine-tuning. This approach enables efficient image manipulation and thematic collection creation. User evaluations for tasks of image editing, thematic design, and overall system performance demonstrate that EPEdit outperforms existing solutions, offering a user-friendly, cost-effective solution for comprehensive image editing.
Innovation
Methods, ideas, or system contributions that make the work stand out.
zero-shot image editing
Stable Diffusion
user-centric design
mask-guided editing
generative AI
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