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Updated: Sep 11, 2025

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OpenCIR: Conditional Image Repainting With Open Condition Mixture.

Shuchen Weng, Xiaocheng Gong, Haojie Zheng

    IEEE Transactions on Pattern Analysis and Machine Intelligence
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    Summary
    This summary is machine-generated.

    OpenCIR is a new Conditional Image Repainting (CIR) model that enables local image editing for open object categories and flexible conditions. It achieves superior visual quality and user satisfaction compared to existing methods.

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    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Image Processing

    Background:

    • Conditional Image Repainting (CIR) models are crucial for local image editing, requiring seamless integration of repainted instances.
    • Existing CIR models face limitations in object category scope, condition flexibility, and precise geometry control.
    • The need for more versatile and user-friendly CIR solutions is evident in the field of image manipulation.

    Purpose of the Study:

    • To introduce OpenCIR, a novel Conditional Image Repainting (CIR) model addressing limitations of previous approaches.
    • To enable editing of open object categories with flexible geometric, textural, and color conditions.
    • To provide a comprehensive dataset (OPEN-CIR) for training and evaluating advanced CIR models.

    Main Methods:

    • Leveraging generative priors from pre-trained models to support open object categories.
    • Implementing redesigned condition injection modules and a condition extension strategy for open modalities.
    • Utilizing a contour refinement strategy for user-specified instances with open geometry precision.

    Main Results:

    • OpenCIR successfully repaints open object categories with enhanced condition understanding and flexible geometry input.
    • The model demonstrates superior visual quality and performance compared to state-of-the-art methods in extensive experiments.
    • Human evaluations indicate more favorable results, highlighting OpenCIR's practical effectiveness.

    Conclusions:

    • OpenCIR represents a significant advancement in Conditional Image Repainting, offering greater flexibility and broader applicability.
    • The developed OPEN-CIR dataset facilitates further research and development in local image editing.
    • OpenCIR provides a robust solution for local image editing tasks requiring precise control over diverse object types and conditions.