eess.IV · 2026-09-16 · No. 115

Image and Video Processing, 2026-09-16.

1 new papers in eess.IV. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting

    Shiwen An, Konstantinos Slavakis

    eess.IV · cs.CV · cs.LG

    This work introduces quantum-inspired tensor-network circuits as trainable transforms for image inpainting. Among the proposed architectures, the diagonal quantum Fourier transform (QFT) relaxation is invertible with $O(N^2 \log N)$ computational cost for $N\times N$ images, inherently preserving minimum coherence throughout training via its circuit structure and eliminating the need for explicit coherence penalties. Unconstrained...

    arxiv.org/abs/2609.17298 · PDF

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