Happy to find my name on the list of outstanding reviewers :] Come and check out our poster on learning better features for semantic correspondence in Hawaii! 📍 Poster #538 (Session 2) 🗓️ Oct 21 | 3:15 – 5:00 p.m. HST genintel.github.io/DIY-SC

🚀 Just accepted to ICCV 2025! In DIY-SC, we improve foundational features using a light-weight adapter trained with carefully filtered and refined pseudo-labels. 🔧 Drop-in alternative to plain DINOv2 features! 📦 Code + pre-trained weights available now. 🔥 Try it in your next vision project!

The CVML group at the @mpi-inf.mpg.de has been busy for CVPR. Check out our papers and come by the presentations!

Hello world, we are now on Bluesky 🦋! Follow us to receive updates on exciting research and projects from our group! #computervision #machinelearning #research

Had the honor to present "Gaussians-to-Life" at #3DV2025 yesterday. In this work, we used video diffusion models to animate arbitrary 3D Gaussian Splatting scenes. This work was a great collaboration with @moechsle.bsky.social, @miniemeyer.bsky.social, and Federico Tombari. 🧵⬇️

Can you do reasoning with diffusion models? The answer is yes! Take a look at Spatial Reasoning Models. Hats off for this amazing work!

🏔️⛷️ Looking back on a fantastic week full of talks, research discussions, and skiing in the Austrian mountains!

Give a warm welcome to @janericlenssen.bsky.social!

Quantitative evaluation of diffusion model outputs is hard! We realized that we are often lacking metrics for comparing the quality of video and multi-view diffusion models. Especially the quantification of multi-view 3D consistency across frames is difficult. But not anymore: Introducing MET3R 🧵

MEt3R: Measuring Multi-View Consistency in Generated Images Mohammad Asim, Christopher Wewer, Thomas Wimmer, Bernt Schiele, Jan Eric Lenssen tl;dr: DUSt3R + DINO + FeatUp together want to be FID for multiview generation arxiv.org/abs/2501.06336

After my general computer vision starter pack is now full (150/150 entries reached), here is one specific to 3D Vision: go.bsky.app/Cfm9XFe