← Search

Christian Munklinde Leth-Espensen

1 accepted papers

2024

Coarse-To-Fine Tensor Trains for Compact Visual Representations

ICML 2024poster

The ability to learn compact, high-quality, and easy-to-optimize representations for visual data is paramount to many applications such as novel view synthesis and 3D reconstruction. Recent work has shown substantial success in using tensor networks to design such compact and high-quality representa…