Subtractive Modulative Network with Learnable Periodic Activations
减法调制网络与可学习周期激活
机构 * School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden(电气工程与计算机科学学院,皇家理工学院,瑞典) ; School of Computer and Communication Sciences, EPFL, Switzerland(计算机与通信科学学院,瑞士联邦理工学院)
专题命中 新视角合成 :NeRF(abstract);novel view synthesis(abstract);分类 cs.CV
AI总结 SMN通过可学习周期激活和调制掩码模块,实现了高效高保真图像重建和3D NeRF新视角合成。
Comments 4 pages, 3 figures, 3 tables
Journal ref ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)