Thanks for sharing! I put care and love into the cover, creating it in QGIS and Illustrator to showcase my beloved Zaragoza

Dmytro Mishkin@ducha-aiki.bsky.social · 9mo ago

Deep Spatial Perception: Localization & Reconstruction. PhD thesis of Sergio Izquierdo. tl;dr: mostly papers combined, but they are good (e.g. DINO-SALAD) and look at the gorgeous title page! izquierdo.dev/assets/PhD_t...

One concern that I have as an AI researcher when publishing code is that it can potentially be used in dual-use applications. To solve this, we propose Civil Software Licenses. They prevent dual-use while being minimal in the restrictions they impose: civil-software-licenses.github.io

Presenting today at #CVPR poster 81. Code is available at github.com/nianticlabs/... Want to try it on an iPhone video? On Android? On any other sequence you have? We got you covered. Check the repo.

GitHub - nianticlabs/mvsanywhere

Contribute to nianticlabs/mvsanywhere development by creating an account on GitHub.

github.com

Sergio Izquierdo@sizquierdo.bsky.social · 2y ago

🔍Looking for a multi-view depth method that just works? We're excited to share MVSAnywhere, which we will present at #CVPR2025. MVSAnywhere produces sharp depths, generalizes and is robust to all kind of scenes, and it's scale agnostic. More info: nianticlabs.github.io/mvsanywhere/

Presenting it now at #CVPR

Oisin Mac Aodha@oisinmacaodha.bsky.social · last yr.

MVSAnywhere: Zero-Shot Multi-View Stereo Looking for a multi-view stereo depth estimation model which works anywhere, in any scene, with any range of depths? If so, stop by our poster #81 today in the morning session (10:30 to 12:20) at #CVPR2025.

Happy to be one of them

#CVPR2026@cvprconference.bsky.social · last yr.

Behind every great conference is a team of dedicated reviewers. Congratulations to this year’s #CVPR2025 Outstanding Reviewers! cvpr.thecvf.com/Conferences/...

🔍Looking for a multi-view depth method that just works? We're excited to share MVSAnywhere, which we will present at #CVPR2025. MVSAnywhere produces sharp depths, generalizes and is robust to all kind of scenes, and it's scale agnostic. More info: nianticlabs.github.io/mvsanywhere/

MASt3R-SLAM code release! github.com/rmurai0610/M... Try it out on videos or with a live camera Work with @ericdexheimer.bsky.social*, @ajdavison.bsky.social (*Equal Contribution)

Riku Murai@rmurai0610.bsky.social · 2y ago

Introducing MASt3R-SLAM, the first real-time monocular dense SLAM with MASt3R as a foundation. Easy to use like DUSt3R/MASt3R, from an uncalibrated RGB video it recovers accurate, globally consistent poses & a dense map. With @ericdexheimer.bsky.social* @ajdavison.bsky.social (*Equal Contribution)

MegaLoc: One Retrieval to Place Them All @berton-gabri.bsky.social Carlo Masone tl;dr: DINOv2-SALAD, trained on all available VPR datasets works very well. Code should at github.com/gmberton/Meg..., but not yet arxiv.org/abs/2502.17237