Fixed-size basis tokens make high-resolution 3D reconstruction faster and sharper

ReDT performs geometric reasoning in a compact representation whose size does not grow with image resolution, then projects the results back for dense reconstruction.

Chinese Tech
Abteen Arab · Guile Wu · Dongfeng Bai

Huawei Noah’s Ark Lab · University of British Columbia

Research Digest··3 min read
Arab, Wu and Bai introduce ReDT, a feed-forward transformer for reconstructing 3D scenes from multiple high-resolution images.

The authors first examined how visual geometry transformers behave as image resolution and view count increase.

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Research Digest

Written by Alwyn Sage, research editor. Plate by Ollie Flash, picture desk.

first published
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