#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/...

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

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!

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...