Generative Image Layer Decomposition with Visual Effects
Jinrui Yang, Qing Liu, Yijun Li, Soo Ye Kim, Daniil Pakhomov, Mengwei Ren, Jianming Zhang, Zhe Lin, Cihang Xie, Yuyin Zhou
2025年份
15顶会引用
摘要
Input BG Layer FG Layer 1 (a) Layer Decomposition Results from Our Model (b) Post-Editing Flexibility FG Layer 2 Layer Editing resize,move recolor copy, recolor blur, recolor Figure 1. (a) Given an input image and a binary object mask, our model is able to decompose the image into a clean background layer and a transparent foreground layer with preserved visual effects such as shadows and reflections. (b) Subsequently, our decomposition empowers complex and controllable layer-wise editing such as spatial, color and/or style editing.
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引用它的顶会 Paper15
- Qwen-Image-Layered: Towards Inherent Editability via Layer DecompositionShengming Yin, Zekai Zhang, Zecheng Tang, Kaiyuan Gao 等CVPR 2026 · 被引用 30 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
- 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
- Video Generation with Stable Transparency via Shiftable RGB-A Distribution LearnerHaotian Dong, Wenjing Wang, Chen Li, Jing LYU 等CVPR 2026 · 被引用 7 次
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