Consistent-Inversion: Reverse Consistency Guidance for Structure-Preserving Visual Editing

• URL: http://arxiv.org/abs/2606.07145v1
• Date: Fri, 05 Jun 2026 11:00:12 GMT
• Title: Consistent-Inversion: Reverse Consistency Guidance for Structure-Preserving Visual Editing
• Abstract summary: Consistent-Inversion is a training-free reverse consistency guidance framework for structure-preserving visual editing.<n>It improves background and structural fidelity under a unified SD3.5 protocol while maintaining target-prompt alignment.
• Score: 41.38183848746174
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Text-guided diffusion models have become effective tools for real-image visual editing, where the edited image must follow a target instruction while preserving editing-irrelevant structure. Most training-free editors rely on inversion: a source image is mapped to a noisy latent trajectory and the terminal latent is reused for target-prompt denoising. This reuse is useful for preservation, but it also couples source reconstruction and target editing. The resulting trajectory mismatch may either damage background/layout details or over-constrain the intended edit. This paper presents Consistent-Inversion, a training-free reverse consistency guidance framework for structure-preserving visual editing. Instead of treating the inverted source latent as a fixed initialization, Consistent-Inversion checks whether an intermediate target trajectory can be reversed toward the source inversion trajectory under the source prompt. To make this check well-defined, we construct an auxiliary target-side noise representation, perform source-guided reverse denoising, and use the resulting reverse consistency discrepancy as a correction signal for selected early target denoising steps. The method does not update model parameters, is compatible with inversion-based editors, and introduces only a small inference overhead when applied sparsely. Experiments on PIE-Bench show that Consistent-Inversion improves background and structural fidelity under a unified SD3.5 protocol while maintaining target-prompt alignment, and compatibility experiments further verify the same correction principle on classical Stable-Diffusion inversion pipelines.

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