Fast Soft Color Segmentation
Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki
2020年份
2顶会引用
摘要
pha channel layers. By leveraging a novel training objective, our method achieves proper assignment of colors amongst layers. As a consequence, our method achieve promising quality without existing issue of inference speed for iterative approaches. Our thorough experimental analysis shows that our method produces qualitative and quantitative results comparable to previous methods while achieving a 300,000x speed improvement. Finally, we utilize our proposed method on several applications, and demonstrate its speed advantage, especially in video editing.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper2
- LayerD: Decomposing Raster Graphic Designs into LayersTomoyuki Suzuki, Kang-Jun Liu, Naoto Inoue, Kota YamaguchiICCV 2025 · 被引用 3 次
- PaletteNeRF: Palette-based Appearance Editing of Neural Radiance FieldsZhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu 等CVPR 2023
相关 Paper
- Hashing Neural Video Decomposition with Multiplicative Residuals in Space-TimeCheng-Hung Chan, Cheng-Yang Yuan, Cheng Sun, Hwann-Tzong ChenICCV 2023 · 被引用 5 次
- Generative Image Layer Decomposition with Visual EffectsJinrui Yang, Qing Liu, Yijun Li, Soo Ye Kim 等CVPR 2025
- Streamlining Image Editing with Layered Diffusion BrushesPeyman Gholami, Robert XiaoICCV 2025 · 被引用 1 次
- Generative Omnimatte: Learning to Decompose Video into LayersYao-Chih Lee, Erika Lu, Sarah Rumbley, Michal Geyer 等CVPR 2025
- LayerFlow: A Unified Model for Layer-aware Video GenerationSihui Ji, Hao Luo, Xi Chen, Yuanpeng Tu 等SIGGRAPH 2025 · 被引用 12 次
