Reparameterized Tensor Ring Functional Decomposition for Multi-Dimensional Data Recovery
重新参数化张量环功能分解用于多维数据恢复
机构 * Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education)(计算与随机数学重点实验室(教育部)) ; School of Mathematics and Statistics(数学与统计学学院) ; Department of Statistics and Data Science(统计与数据科学系)
专题命中 图像修复 :inpainting(abstract);分类 cs.CV
AI总结 本文提出了一种重新参数化的张量环功能分解方法,通过结合可学习的潜在张量和固定基底,提升多维数据恢复的性能。
Comments 22 pages, 18 figures, 12 tables. Accepted by CVPR 2026