📽️ Check out Visual Odometry Transformer! VoT is an end-to-end model for getting accurate metric camera poses from monocular videos. vladimiryugay.github.io/vot/

#TTT3R: 3D Reconstruction as Test-Time Training TTT3R offers a simple state update rule to enhance length generalization for #CUT3R — No fine-tuning required! 🔗Page: rover-xingyu.github.io/TTT3R We rebuilt @taylorswift13’s "22" live at the 2013 Billboard Music Awards - in 3D!

🦖 We present “Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion”. #ICCV2025 🌍: visinf.github.io/scenedino/ 📃: arxiv.org/abs/2507.06230 🤗: huggingface.co/spaces/jev-a... @jev-aleks.bsky.social @fwimbauer.bsky.social @olvrhhn.bsky.social @stefanroth.bsky.social @dcremers.bsky.social

The code for our #CVPR2025 paper, PRaDA: Projective Radial Distortion Averaging, is now out! Turns out distortion calibration from multiview 2D correspondences can be fully decoupled from 3D reconstruction, greatly simplifying the problem arxiv.org/abs/2504.16499 github.com/DaniilSinits...

Can we match vision and language representations without any supervision or paired data? Surprisingly, yes!  Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social 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! ⬇️

Our paper, ”Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation”, has been accepted to #CVPR 2025. 📄 Paper: arxiv.org/abs/2503.21780 🧪 Code: github.com/rezaqorbani/...

Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation

Open-vocabulary semantic segmentation models associate vision and text to label pixels from an undefined set of classes using textual queries, providing versatile performance on novel datasets. Howeve...

arxiv.org

Very glad to announce that our "Finsler Multi-Dimensional Scaling" paper, accepted at #CVPR2025, is now on Arxiv! arxiv.org/abs/2503.18010

Daniel Cremers@dcremers.bsky.social · last yr.

We are thrilled to have 12 papers accepted to #CVPR2025. Thanks to all our students and collaborators for this great achievement! For more details check out cvg.cit.tum.de

AnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration Javier Tirado-Garín, @jcivera.bsky.social tl;dr: image->ViT+DPT->Field of View (FoV) fields->bijective rays and corresponding image coordinates->closed-form model-agnostic intrinsics arxiv.org/abs/2503.12701

We are thrilled to have 12 papers accepted to #CVPR2025. Thanks to all our students and collaborators for this great achievement! For more details check out cvg.cit.tum.de

MUSt3R: Multi-view Network for Stereo 3D Reconstruction Yohann Cabon, Lucas Stoffl, Leonid Antsfeld, Gabriela Csurka, Boris Chidlovskii, Jerome Revaud, @vincentleroy.bsky.social tl;dr: make DUSt3R symmetric and iterative+multi-layer memory mechanism->multi-view DUSt3R arxiv.org/abs/2503.01661

🥳 Thrilled to announce that our work, "4Deform: Neural Surface Deformation for Robust Shape Interpolation," has been accepted to #CVPR2025 🙌 💻 Check our project page: 4deform.github.io 👏 Great thanks to my amazing co-authors. @ricmarin.bsky.social @dongliangcao.bsky.social @dcremers.bsky.social

🥳Thrilled to share our work, "Implicit Neural Surface Deformation with Explicit Velocity Fields", accepted at #ICLR2025 👏 code is available at: github.com/Sangluisme/I... 😊Huge thanks to my amazing co-authors. @dongliangcao.bsky.social @dcremers.bsky.social 👏Special thanks to @ricmarin.bsky.social

Indeed - everyone had a blast - thank you all for the great talks, discussions and Ski/snowboarding!

Andreas Geiger@andreasgeiger.bsky.social · 2y ago

This week we had our winter retreat jointly with Daniel Cremer's group in Montafon, Austria. 46 talks, 100 Km of slopes and night sledding with some occasionally lost and found. It has been fun!

DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting, presented at #ECCV2024 Paper: arxiv.org/abs/2407.17058 Code/project: github.com/linusnie/dif...

Reposting some of my prior works here on this site :) "Semidefinite Relaxations for Robust Multiview Triangulation" at #CVPR2023! paper: arxiv.org/abs/2301.11431 code: github.com/Linusnie/rob...