Pre-Trained Low-Rank Tensor Decomposition for Multi-Dimensional Image Recovery
The first pre-trained low-rank tensor decomposition (PLTD) framework is suggested, which organically integrates the pre-trained large vision model into the classical tensor decomposition framework and achieves an unprecedented balance among higher recovery fidelity, fewer learnable parameters, and smaller carbon footpr...