It's a marathon Sunday for @kgcs96 – co-author of PANst3R, Gabriela will also be giving 2 invited workshop talks AND the keynote dinner speech #WiCV - all the same day! 😅 @ICCVConference
CALIPOSE workshop: 🏃https://t.co/soE1uMTMXH
CRoCoDL workshop: 🏃♀️https://t.co/rvGcUwBff4
WICV: https://t.co/fdIJ8UbTeC 🏃♀️ 🧵6/9
We kick off #iccv25 Sun Oct 19th with PANSt3R - Multi-view Consistent Panoptic Segmentation
Paper: https://t.co/Wg7NyFTCdY
ILR+G workshop (morning): https://t.co/b8MKsJBGT3
OpenSUN workshop (afternoon): https://t.co/ajBn8ciMSa
TLDR: fast & scalable 3D reconstruction & scene understanding with object instances
@LojzeZust@_Anthea___@bchidlovskii@JeromeRevaud@kgcs96
Yohann Cabon Leonid Antsfeld 🧵2/9
I've been invited at the Weakly Supervised Computer Vision workshop at DeepLearning Indaba!
I'm super happy to present my works in front of 400 super motivated students!
Thanks to the organizers for inviting me! 😊 #DLIndaba2022
Introducing the latest model in @naverlabseurope *St3R family! In a single step PanSt3R performs fast & scalable 3D reconstruction & scene understanding with object instances.
Paper: https://t.co/Wg7NyFTCdY
More info on 3D FMs: https://t.co/Zsqw3lFkn7
Accepted at #ICCV25 🎉
@Lojz@LojzeZust@_Anthea___@bchidlovskii@JeromeRevaud@kgcs96 Yohann Cabon Leonid Anstfeld
Excited to share our latest work in the *St3R family. PanSt3R, accepted at #ICCV25, proposes a unified and integrated approach for 3D scene reconstruction and its panoptic segmentation in a single forward pass.
https://t.co/IxSWsfU6I3
MUSt3R: Multi-view Network for Stereo 3D Reconstruction
TL;DR: DUSt3R guys strike back at CVPR '25!
Contributions:
• We revisit the DUSt3R architecture by making it symmetric and enabling N-view predictions in metric space. We entail it with a memory mechanism that decreases computational complexity for both offline and online reconstructions.
• We achieve state-of-the-art performance in unconstrained reconstruction scenarios, estimating field-of-view, camera pose, 3D reconstruction, and absolute scale without sacrificing inference speed.
Interestingly, the network generalizes very well to many more images than seen during training.
Code IS available here https://t.co/EewAIE5kYZ
I hope it works in your scenarios and you have as much fun as we do playing around with it!
*3R posts are back! 🧵
Interested in SfM, RGB-SLAM or... both at the same time???
Come see MUSt3R @CVPR25 Friday morning, ExHall D Poster #82.
Jerome and Boris will be there to present how we can adapt DUSt3R to multiple views via a memory mechanism (and maybe do parkour?!)
Happy to introduce our new CVPR paper—Pow3R: Empowering Unconstrained 3D Reconstruction with Scene and Camera Priors : https://t.co/i9nvnhHxbE
Inspired by the amazing DUSt3R, which reconstructs 3D from just two unposed images, we explored:
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