ChordEdit: One-Step Low-Energy Transport for Image Editing

• URL: http://arxiv.org/abs/2602.19083v1
• Date: Sun, 22 Feb 2026 07:40:50 GMT
• Title: ChordEdit: One-Step Low-Energy Transport for Image Editing
• Authors: Liangsi Lu, Xuhang Chen, Minzhe Guo, Shichu Li, Jingchao Wang, Yang Shi,
• Abstract summary: ChordEdit is a model agnostic, training-free, and inversion-free method that facilitates high-fidelity one-step editing.<n>We recast editing as a transport problem between the source and target distributions defined by the source and target text prompts.<n>A theoretically grounded and experimentally validated approach allows ChordEdit to deliver fast, lightweight and precise edits.
• Score: 8.517302920663932
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The advent of one-step text-to-image (T2I) models offers unprecedented synthesis speed. However, their application to text-guided image editing remains severely hampered, as forcing existing training-free editors into a single inference step fails. This failure manifests as severe object distortion and a critical loss of consistency in non-edited regions, resulting from the high-energy, erratic trajectories produced by naive vector arithmetic on the models' structured fields. To address this problem, we introduce ChordEdit, a model agnostic, training-free, and inversion-free method that facilitates high-fidelity one-step editing. We recast editing as a transport problem between the source and target distributions defined by the source and target text prompts. Leveraging dynamic optimal transport theory, we derive a principled, low-energy control strategy. This strategy yields a smoothed, variance-reduced editing field that is inherently stable, facilitating the field to be traversed in a single, large integration step. A theoretically grounded and experimentally validated approach allows ChordEdit to deliver fast, lightweight and precise edits, finally achieving true real-time editing on these challenging models.

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