To appear at 3DV! Congrats to the team, especially JennySeidenschwarz !

If you want to try out our 3DV paper #DynOMo for dynamic, online, monocular reconstruction-based point tracking, you can do so now ☺️💃 Laura Leal-Taixe Qunjie Zhou Bardienus Duisterhof Deva Ramanan jennyseidenschwarz.github.io/DynOMo.github.…

MATCHA:Towards Matching Anything feixue, Sven Elflein, Laura Leal-Taixe, Qunjie Zhou tl;dr: diffusion model->semantic+geometric features->transformer-based fusion->enhanced diffusion features->w/ DINOv2->unified feature->geometric/semantic/temporal matching arxiv.org/abs/2501.14945

Spatial AI is increasingly important, and the newest papers from #NVIDIAResearch, 3DGRT and 3DGUT, represent significant advancements in enabling researchers and developers to explore and innovate with 3D Gaussian Splatting techniques. 💎 3DGRT (Gaussian Ray Tracing) ➡️

Nvidia just announced Towards Learning to Complete Anything in Lidar

Thanks AK for sharing! During my internship at NVIDIA AI, we explored zero-shot panoptic completion of Lidar scans — together with Cristiano Saltori Neehar Peri Tim Meinhardt Riccardo de Lutio Laura Leal-Taixe Aljosa!

A Guide to Structureless Visual Localization Vojtech Panek, Qunjie Zhou, Yaqing Ding, Sérgio Agostinho, Zuzana Kukelova, Torsten Sattler, Laura Leal-Taixe tl;dr: structureless localization review arxiv.org/abs/2504.17636

Turns out that if you learn to downsample (rather than using uniform grid pooling) in Vision Transformers, you no longer need dedicated upsampling layers and segmentation heads—dense image segmentation emerges natively. arxiv.org/abs/2505.16993

Excited to share what we've been working on! SeNaTra introduces a backbone where segmentation emerges natively by replacing standard downsampling with grouping layers. Opens the door for a new family of zero-shot segmentation-centric backbone architectures! 🚀 Code coming soon!

Curious about 3D Gaussians, simulation, rendering and the latest from #NVIDIA? Come to the NVIDIA Kaolin Library live-coding session at #CVPR2025, powered by a cloud GPU reserved especially for you. Wed, Jun 11, 8-noon. Bring your laptop! tinyurl.com/nv-kaolin-cvpr…

Can we learn to complete anything in Lidar without any manual supervision? Excited to share our #ICML2025 paper “Towards Learning to Complete Anything in Lidar” from my time at NVIDIA with Cristiano Saltori Neehar Peri Tim Meinhardt Riccardo de Lutio Aljosa Laura Leal-Taixe! Thread🧵👇

[1/N] 🎥 We've made available a powerful spatial AI tool named ViPE: Video Pose Engine, to recover camera motion, intrinsics, and dense metric depth from casual videos! Running at 3–5 FPS, ViPE handles cinematic shots, dashcams, and even 360° panoramas. 🔗 research.nvidia.com/labs/toronto-a…

[7/N] ViPE code is released at: github.com/nv-tlabs/vipe! Huge thanks to the incredible team behind this Qunjie Zhou Hesam Rabeti Aleksandr Huan Ling Xuanchi Ren Tianchang Shen Jun Gao Dmitry Chen-Hsuan Lin Jiawei Ren Kevin Joydeep Biswas Laura Leal-Taixe Sanja Fidler

Laura Leal-Taixé (Laura Leal-Taixe ) is a Senior Research Manager at NVIDIA AI . Interview in Catalan with Neurones Fregides 🍳 at #DLBCN 2024, hosted at La Salle BCN.