Attending #ECCV2026#? Join Mohit Goyal at the Google booth (#2#) today at 12:00pm CEST for a demo and Q&A on 'Perception, Not Reasoning, Limits Video Spatial Understanding' to explore how spatial perception enhances to visual language models. Stop by to ask your questions!

Excited to share our @eccvconf paper: Resolution-Agnostic Neural Operators for Multi-Rate Sparse-View CT. We introduce Computed Tomography neural Operator (CTO), the first neural operator framework for sparse-view CT reconstruction. Sparse-view CT cuts radiation dose and scan time by taking fewer X-ray projections, but reconstruction then becomes ill-posed and needs a learned prior. Existing deep learning models are tied to one subsampling rate. However, this is not scalable since clinical protocols vary across organs and diagnostic purposes, so in practice you need a separate model for each subsampling rate. CTO instead learns a mapping between function spaces. Because a function has no fixed resolution, one model ingests sinograms at any subsampling rate and outputs high quality reconstructions, with no retraining required. On an average, CTO beats traditional unrolled CNN variational network by 3.42 dB PSNR and is 500x faster than diffusion models while being 6.02 dB PSNR better. @Caltech Paper: Project page: Code:

Welcome to #ECCV2026#! 🌟 Google is proud to be a Diamond Sponsor at @eccvconf in Malmö, Sweden (Sept 10–12). Visit us at booth #2# to explore our latest research, connect with our team, and see live demos! Learn more: #GoogleResearch#

Images rarely show an object’s full 3D geometry. At #ECCV2026#, our research team introduced Axolotl3D, a multimodal and occlusion-aware 3D generation model. It combines images, camera data and partial geometry to reconstruct missing regions while preserving observed ones, achieving state-of-the-art results across single- and multi-view settings. Project page:

Discover how enhanced patch-text alignment advances vision-language pretraining at #ECCV2026#. Join Gabriele Berton and Ye Xia at the Google booth (#2#) today at 1:00pm CEST for an interactive showcase of TIPSv2. Check out the paper and demo: @GoogleDeepMind

Can AI build new knowledge from experience? Join Google researchers Dima Damen and Viorica Patraucean alongside Yilun Du for the #ECCV2026# Panel today at 10:00am CEST in the Arena Room as they discuss the future of AI learning loops: @GoogleDeepMind

Congratulations to Google DeepMind Researcher, Christine Kaeser-Chen and the Fine-Grained Visual Categorization (FGVC) Challenge Series team on the PAMI Mark Everingham Prize at ECCV 2026! 🏆 Thank you for your lasting contributions to the computer vision community. Well deserved! 👏

Safer robots start with better world models. 🤖 Meet Shalfun Li, World Model Tech Lead at X Square Robot, at the Safe World Models workshop during #ECCV2026#. 📅 Sept. 9 · Morning (CEST) 📍 Malmömässan D1 🌐 Half-day hybrid event Let’s connect in Malmö!

Visual AI needs to recognize a scene, understand what happened and predict what could happen next. For the AI City Challenge at #ECCV2026#, teams built systems to do just that. Four of the top five video solutions used NVIDIA Cosmos ⬇️