no code implementations • 22 Mar 2024 • Florian Langer, Jihong Ju, Georgi Dikov, Gerhard Reitmayr, Mohsen Ghafoorian
In contrast to previous works, we directly predict alignment parameters and shape embeddings.
no code implementations • 17 Oct 2023 • Florian Langer, Ignas Budvytis, Roberto Cipolla
Introducing a new network architecture Multi-SPARC we learn to perform CAD model alignments for multiple detected objects jointly.
1 code implementation • 3 Oct 2022 • Florian Langer, Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
This combined information is the input to a pose prediction network, SPARC-Net which we train to predict a 9 DoF CAD model pose update.
1 code implementation • 10 Nov 2021 • Florian Langer, Ignas Budvytis, Roberto Cipolla
In this work we demonstrate how cross-domain keypoint matches from an RGB image to a rendered CAD model allow for more precise object pose predictions compared to ones obtained through direct predictions.