Eric Brachmann @eric_brachmann
Staff Scientist @NianticLabs. Throws #MachineLearning at traditional #ComputerVision pipelines to see what sticks. Differentiates the non-differentiable. ebrach.github.io Europe Joined January 2018-
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Reconstructing Ignatius (Tanks&Temples) from 7,843 images, starting from raw images without intrinsics, in one hour on a V100. #ACEZero
Wow so much exciting progress on Structure-from-Motion this week! Congratulations to @jianyuan_wang @JeromeRevaud @eric_brachmann @vincesitzmann & teams for their fantastic works! Now we really feel pressured to improve COLMAP before everyone catches up 😉
Groundbreaking work from @eric_brachmann et al. with a new approach for Structure from Motion. With their learning-based relocalization they can build implicit neural scene representations from thousands of unposed images, without pose priors or sequential inputs.
Groundbreaking work from @eric_brachmann et al. with a new approach for Structure from Motion. With their learning-based relocalization they can build implicit neural scene representations from thousands of unposed images, without pose priors or sequential inputs.
Visual relocalization has been a bit of a niche topic of 3D vision. I hope this work can help it reaching a wider audience by showing how tightly coupled it is with reconstruction. People think of reloc as a step after or within incremental SfM. #ACEZero turns that on its head.
Visual relocalization has been a bit of a niche topic of 3D vision. I hope this work can help it reaching a wider audience by showing how tightly coupled it is with reconstruction. People think of reloc as a step after or within incremental SfM. #ACEZero turns that on its head.
Amazing paper from @NianticLabs on scene reconstruction: paradigm shift in structure from motion? I think so! At least for a large class of datasets and applications, including quick phone captures. Beautiful visualizations in the thread. Wow, @eric_brachmann !!!
Amazing paper from @NianticLabs on scene reconstruction: paradigm shift in structure from motion? I think so! At least for a large class of datasets and applications, including quick phone captures. Beautiful visualizations in the thread. Wow, @eric_brachmann !!!
Thanks for sharing our work!
Thanks for sharing our work! Let me offer an alternative TL;DR: self-supervised ACE = SfM
Thanks for sharing our work! Let me offer an alternative TL;DR: self-supervised ACE = SfM
Dear #ECCV2024 reviewer, "see weaknesses" is not a good "justification of rating". Every paper has weaknesses. The AC needs to understand why you think the weaknesses outweigh the strengths (or vice versa). Best,
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@pesarlin @jianyuan_wang @JeromeRevaud @eric_brachmann @vincesitzmann Looking forward to see the next-gen COLMAP!
@pesarlin @jianyuan_wang @JeromeRevaud @eric_brachmann @vincesitzmann As long as COLMAP is used to build GT I think you're fine ;)
@eric_brachmann Amazing work Eric! Do you think this could be repurposed for 6DOF pose estimation? Essentially mask out the background and "relocalize" the ego pose w.r.t. the object of interest?
Wow so much exciting progress on Structure-from-Motion this week! Congratulations to @jianyuan_wang @JeromeRevaud @eric_brachmann @vincesitzmann & teams for their fantastic works! Now we really feel pressured to improve COLMAP before everyone catches up 😉
@Parskatt @vincesitzmann @eric_brachmann haha literally yes
@vincesitzmann @eric_brachmann @JeromeRevaud Sky's the limit with conventional sfm 😉
@eric_brachmann @JeromeRevaud I think we will move past conventional SfM within a year, and then the sky's the limit ;)
@eric_brachmann @JeromeRevaud @vincesitzmann Actually it somehow regressed github.com/colmap/colmap/… 😀
Hloc, Pixel Perfect SfM, Detector-free SfM, and VGGSfM: we are also COLMAP, a special one 😉
@JeromeRevaud @vincesitzmann If COLMAP would only stand still... 😉
@eric_brachmann Thank you, Eric, means a lot! Same to you & the team of ACEZero!!
@WayneINR @AjdDavison @LourdesAgapito Here are the slides of my recent invited talk about CroCo + DUSt3R + MASt3R files.europe.naverlabs.com/index.php/file… Note: It's a pdf, i know the videos won't work but there's really nothing hitherto unseen. I can point to where to find each individual video upon request.
@vincesitzmann oh after ACE-Zero another deep-SfM method! That's exciting to be part of this race to beat COLMAP :)
Introducing “FlowMap”, the first self-supervised, differentiable structure-from-motion method that is competitive with conventional SfM like Colmap! cameronosmith.github.io/flowmap/ IMO this solves a major missing piece for internet-scale training of 3D Deep Learning methods. 1/n
I am incredibly honoured to receive the Eurographics PhD Thesis Award. A big thank you to my supervisors, Tobias Ritschel and Niloy J. Mitra, all my colleagues at UCL and collaborators at Meta AI / Adobe Research for their incredible support throughout my PhD journey.
@eric_brachmann Great work!! Looking forward to read the paper and understand code after exams 😅.
🔥
📢A new learning-based approach to SfM: #ACEZero No img-to-img matching, optimises image-to-scene correspondences directly. Needs no pose priors. Works on unordered image sets. Efficiently handles thousands of images. Paper: arxiv.org/abs/2404.14351 Page: nianticlabs.github.io/acezero
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