SmartEraser: Remove Anything from Images using Masked-Region Guidance
Longtao Jiang, Zhendong Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Lei Shi, Dong Chen, Houqiang Li
2025年份
12顶会引用
摘要
https://longtaojiang.github.io/smarteraser.github.io/ Figure 1 . Object removal results generated by SmartEraser using user-provided masks. SmartEraser not only generates photorealistic images with the target objects removed but also better preserves the surrounding context around the removed objects.
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引用它的顶会 Paper12
- ROSE: Remove Objects with Side Effects in VideosChenxuan Miao, Yutong Feng, Jianshu Zeng, Zixiang Gao 等NeurIPS 2025 · 被引用 37 次
- DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion TransformersZitong Wang, Hang Zhao, Qianyu Zhou, Xuequan Lu 等CVPR 2026 · 被引用 26 次
- OmniTry: Virtual Try-On Anything without MasksYutong Feng, Linlin Zhang, Hengyuan Cao, Yiming Chen 等NeurIPS 2025 · 被引用 16 次
- EffectErase: Joint Video Object Removal and Insertion for High-Quality Effect ErasingYANG FU, Yike Zheng, Ziyun Dai, Henghui DingCVPR 2026 · 被引用 14 次
- Precise Object and Effect Removal with Adaptive Target-Aware AttentionJixin Zhao, Zhouxia Wang, Peiqing Yang, Shangchen ZhouCVPR 2026 · 被引用 13 次
它引用的顶会 Paper23
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao 等ICCV 2023 · 被引用 13,211 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- SDXL: Improving Latent Diffusion Models for High-Resolution Image SynthesisDustin Podell, Zion English, Kyle Lacey, Andreas Blattmann 等ICLR 2024 · 被引用 4,569 次
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