11 DAILY CVPR Saturday address dynamic scenes, and I hope that people will integrate these techniques into our pipeline to make the system more robust and able to reconstruct dynamically moving objects.” Riku and Eric are a truly global partnership. Riku, originally from Japan, has lived in the UK for 20 years, while Eric hails from Connecticut in the US. With SLAM being a fundamental problem in many 3D vision systems, from robotics to autonomous driving, both researchers express excitement about the potential for people to take their work forward into realworld applications. “Making our code public and then people building on top of it is a fun part of this journey,” Riku smiles. “Working close to the bottom of the stack where we’re providing data that other people can build on, and then getting feedback saying it was helpful, is always exciting and fulfilling.” Eric agrees and reflects on the journey they have taken: “We saw the MASt3R prior and recognized its potential, but getting the full system to work took some effort and expertise. It was exciting to figure out the problems and develop a realtime solution while also ensuring accuracy. Having the final system in play, it’s fun. We sometimes still surprise ourselves with it!” Before they go, the team is keen to give credit to Naver Labs, and in particular, Jérome Revaud, who visited Imperial, allowing them to see the potential of his work firsthand. “We’re building off of their stuff,” Eric adds. “Their work is very inspiring to many people in the community!” To learn more about MASt3R-SLAM, visit Poster Session 4 (Hall D) today from 17:00 to 19:00 [Poster 83]. MASt3R-SLAM
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