EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing

• URL: http://arxiv.org/abs/2608.18063v1
• Date: Tue, 18 Aug 2026 17:53:16 GMT
• Title: EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing
• Abstract summary: EditBridge is a diffusion bridge framework for efficient ultra high-resolution editing.<n>We introduce a prior-guided block-wise sparse attention mechanism that exploits semantic correspondence from first-stage editing to constrain cross-image interactions.<n>Experiments demonstrate that EditBridge achieves high-fidelity editing with superior perceptual quality at resolutions up to 4K, delivering 3.6--8.4$times$ speedup at 2K and enabling practical 4K editing in 61 seconds.
• Score: 32.87034497388552
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: High-resolution image editing is increasingly demanded in professional workflows, yet existing diffusion-based models remain constrained to resolutions below 1K due to quadratic attention complexity and prohibitive memory requirements. A prevalent workaround employs a two-stage pipeline: editing at low resolution followed by independent super-resolution. However, this approach suffers from two critical issues: information divergence, where hallucinated details contradict the original high-resolution (HR) source, and texture degradation, manifesting as over-smoothed or over-sharpened artifacts. We propose EditBridge, a diffusion bridge framework for efficient ultra high-resolution editing. Unlike conventional diffusion that regenerates from noise, we formulate refinement as structured data-to-data translation from the low-resolution (LR) edited result to its HR counterpart, explicitly conditioned on the original HR source to preserve authentic details. To efficiently incorporate HR source guidance, we introduce a prior-guided block-wise sparse attention mechanism that exploits semantic correspondence from first-stage editing to constrain cross-image interactions to spatially aligned regions, significantly reducing computational overhead. Extensive experiments demonstrate that EditBridge achieves high-fidelity editing with superior perceptual quality at resolutions up to 4K, delivering 3.6--8.4$\times$ speedup at 2K and enabling practical 4K editing in 61 seconds.

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