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cs.CV2026
UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs
Lifan Jiang, Tianrun Wu, Yuhang Pei +3
The evaluation of visual editing models remains fragmented across methods and modalities. Existing benchmarks are often tailored to specific paradigms, making fair cross-paradigm c…
cs.CV2026
SNR-Edit: Structure-Aware Noise Rectification for Inversion-Free Flow-Based Editing
Lifan Jiang, Boxi Wu, Yuhang Pei +5
Inversion-free image editing using flow-based generative models challenges the prevailing inversion-based pipelines. However, existing approaches rely on fixed Gaussian noise to co…