arXiv 2610.18072 · cs.CV · 2026-10-13
LensErase: A Foundation Model for Erase Anything
Yunuo Chen, Xiuyu Wu, Qinhong Yang, Jinjing Zhao, Yanchen Dong, Sirui Zhang, Dong Chen, Fangyun Wei 等 14 人
Microsoft
在最新榜 #125 本站收录于 2026-10-21
一句话要点
LensErase 是通用“擦除一切”模型，基于 1 亿对数据训练，可移除物体、文字、水印及其影子等效果。
LensErase is a general erase-anything model trained on 100M pairs, removing objects, text, watermarks and their visual effects.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：视觉生成
- MaLiang-Harness: A Programmable Path to Image and Video Generation ▲367
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation ▲364
- StreamEval: Evaluating Interactive Streaming Video Generation Models ▲361
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation ▲197
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-23。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。