LensErase: A Foundation Model for Erase Anything

Yunuo Chen; Xiuyu Wu; Qinhong Yang; Jinjing Zhao; Yanchen Dong; Sirui Zhang; Dong Chen; Fangyun Wei; Lei Shi; Ji Li; Dongdong Chen; Guo Lu; Yan Lu; Baining Guo

arXiv · 2610.18072

LensErase: A Foundation Model for Erase Anything

Yunuo Chen·Xiuyu Wu·Qinhong Yang·Jinjing Zhao·Yanchen Dong·Sirui Zhang·Dong Chen·Fangyun Wei·Lei Shi·Ji Li·Dongdong Chen·Guo Lu·Yan Lu·Baining Guo

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Abstract

We introduce LensErase, a general-purpose mask-based Erase Anything foundation model designed to cover a broad spectrum of real-world erase scenarios. LensErase supports diverse objects, visual text, watermarks, associated visual effects, multiple-object removal, and a wide range of object scales, aspect ratios, and image resolutions. First, to enable such broad coverage, we construct LensErase-100M, a large-scale dataset containing 101.07 million paired source-mask-target examples spanning diverse erase scenarios. Second, we pretrain LensErase from the text-to-image model Lens, adapting its strong generative prior to mask-based erasing. To efficiently incorporate the source image and erase mask, we propose Mask-Aware RoPE, a 3D rotary positional encoding that directly injects mask information into the source-image tokens without introducing a separate mask token sequence. Finally, we refine the model through supervised fine-tuning and reinforcement learning with contract-guided, region-aware rewards, and apply TraceFusion at inference to preserve high-fidelity content outside the effective edit region. Across six public benchmarks and the proposed LensErase-Bench, LensErase achieves substantial improvements under both reference-based objective metrics and reference-free VLM evaluation. We hope LensErase can serve as a foundational model for erase-related applications and systems.

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Yunuo Chen, Xiuyu Wu, Qinhong Yang, Jinjing Zhao, Yanchen Dong, Sirui Zhang, Dong Chen, Fangyun Wei, Lei Shi, Ji Li, Dongdong Chen, Guo Lu, Yan Lu, Baining Guo. 2026-10-13. LensErase: A Foundation Model for Erase Anything. https://arxiv.org/abs/2610.18072

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