Linus Härenstam-Nielsen
@LinusHNielsen
PhD student at @TU_Muenchen, working on 3D reconstruction
Very excited to announce our paper: "DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting" at #ECCV2024! Paper: arxiv.org/abs/2407.17058 Code/project: github.com/linusnie/diffcd
🦖 We present “Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion”. #ICCV2025 🌍: visinf.github.io/scenedino/ 📃: arxiv.org/abs/2507.06230 💻: github.com/tum-vision/sce… 🤗: huggingface.co/spaces/jev-ale… w/ A. Jevtić @felixwimbauer @olvr_hhn C. Rupprecht @stefanroth D. Cremers
Join us for a full-day 3D Shape Analysis tutorial at @CVPR in Nashville, on Thursday, June 12, from 9:15 AM to 5:00 PM in Room 204! 👉 More details and the full schedule are available at: shape-analysis-tutorial.github.io/cvpr-25/
Can we match vision and language representations without any supervision or paired data? Surprisingly, yes! Our #CVPR2025 paper with @neekans and Daniel Cremers shows that the pairwise distances in both modalities are often enough to find correspondences. ⬇️1/4
Can you train a model for pose estimation directly on casual videos without supervision? Turns out you can! In our #CVPR2025 paper AnyCam, we directly train on YouTube videos and achieve SOTA results by using an uncertainty-based flow loss and monocular priors! ⬇️
Check out our recent #CVPR2025 paper AnyCam, a method for pose estimation in casual videos! 1️⃣ Can be directly trained on casual videos without the need for 3D annotation. 2️⃣ Based around a feed-forward transformer and light-weight refinement. ♦️ fwmb.github.io/anycam/
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction Weirong Chen, Ganlin Zhang, @felixwimbauer , Rui Wang, @neekans Andrea Vedaldi, Daniel Cremers tl;dr even for non-rigid SfM you can do BA on static parts -> improves everything. arxiv.org/abs/2504.14516
We are thrilled that our group has twelve papers accepted at #CVPR2025! 🚀 Congratulations to all of our students for this great achievement! 🎉 For more details, check out: cvg.cit.tum.de
🥳 Thrilled to announce that our work, "4Deform: Neural Surface Deformation for Robust Shape Interpolation," has been accepted to #CVPR2025 💻 Check our project page for more details: 4deform.github.io 👏 Great thanks to my amazing co-authors. @zehranaz98 @_R_Marin_
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 @eric_dexheimer*, @AjdDavison (*Equal Contribution)
We are presenting DiffCD tomorrow morning at #ECCV2024! Come by poster 214 to discuss how to fit neural SDFs to point clouds, from a geometric perspective
Very excited to announce our paper: "DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting" at #ECCV2024! Paper: arxiv.org/abs/2407.17058 Code/project: github.com/linusnie/diffcd
Looking forward to present "PoVar" at #ECCV2024 tomorrow at 4:30pm, Poster 097 ! Check out our paper 📝 : arxiv.org/abs/2405.05079 our code 💻 : github.com/tum-vision/pov… and our video 📹: youtube.com/watch?v=PlFrfT…
Very glad to announce that our paper "Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment" has been accepted at #ECCV2024! Check out arxiv.org/abs/2405.05079
This looks like it will enable a lot of cool research: mosaic51.com/featured/mosai…
Some good news for the summer: We are very proud that the students of our lab, together with great collaborators, are going to present 7 amazing works at #ECCV2024! See y'all in Milan! 🇮🇹 For more info, visit our website: cvg.cit.tum.de