SpotEdit: Efficient Region Editing in Diffusion Transformers
Published:Dec 26, 2025 14:59
•1 min read
•ArXiv
Analysis
This paper addresses the inefficiency of current diffusion-based image editing methods by focusing on selective updates. The core idea of identifying and skipping computation on unchanged regions is a significant contribution, potentially leading to faster and more accurate editing. The proposed SpotSelector and SpotFusion components are key to achieving this efficiency and maintaining image quality. The paper's focus on reducing redundant computation is a valuable contribution to the field.
Key Takeaways
- •Proposes SpotEdit, a training-free framework for selective region editing in diffusion transformers.
- •Introduces SpotSelector to identify and skip computation on stable regions.
- •Employs SpotFusion to blend edited features, preserving context and quality.
- •Aims to improve efficiency and maintain fidelity in image editing.
Reference
“SpotEdit achieves efficient and precise image editing by reducing unnecessary computation and maintaining high fidelity in unmodified areas.”