davnords.bsky.social
Phd Student @ Chalmers Deep Learning for Computer Vision. Strengthen your ViTs: https://github.com/davnords/octic-vits
👤 Joined on 10 February 2025
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@davnords.bsky.socialRoMa-Ω: What Feed-Forward 3D Models Know About Image Matching @davnords.bsky.social, Xinyue Zhang, @thibautloiseau.bsky.social, @vincentlepetit.bsky.social, @fredkahl.bsky.social tl;dr: replace the DINOv3 in RoMa v2 with features from the VGGT-Ω arxiv.org/abs/2609.09507
Show PostTomorrow I will present the Quick ViTs poster at ECCV! Come and discuss image symmetries, GPU throughput and ViTs! Poster session 3, Friday 10:30, poster #26. Quick ViTs are a way to build ViTs that are faster than standard ViTs *and* encode planar symmetries of images into the architecture.
Show PostLink: eccv.ecva.net/virtual/2026... P.S. the jellyfish in the background have a D8 symmetry as do our Quick ViTs.
Show PostAlso, @davnords.bsky.social and @parskatt.bsky.social are presenting the SotA image matchers LoMa and RoMa v2 in the same session!
Show PostTrying to resist the urge to re-order the arguments to this function.
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