Do you need to upsample vision features (e.g. DINOv3) to higher resolutions? 👉 If yes, check out Thomas Wimmer's new work AnyUp, it works on all vision features without retraining and can upsample to any resolution! Code is available!

Thomas Wimmer@wimmerthomas.bsky.social · 10mo ago

Super excited to introduce ✨ AnyUp: Universal Feature Upsampling 🔎 Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining. SOTA feature upsampling results while being feature-agnostic at inference time. 🌐 wimmerth.github.io/anyup/

Can diffusion models solve visual Sudoku? If you are at #ICML2025, come to our poster in the Wednesday morning poster session (Poster Session 3 East, Poster 3412) and find out! @chriswewer.bsky.social

At #CVPR2025 and working on consistency in video and multi-view generative models? Come and visit our poster on Friday afternoon, where I present 𝗠𝗘𝘁𝟯𝗥: 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗩𝗶𝗲𝘄 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗜𝗺𝗮𝗴𝗲𝘀 @mohammadasim98.bsky.social @wimmerthomas.bsky.social @mpi-inf.mpg.de @cvml.mpi-inf.mpg.de

Can image generators solve visual Sudoku? Naively, no, with sequentialization and the correct order, they can! Check out @chriswewer.bsky.social's and Bart's SRM's for details. Project: geometric-rl.mpi-inf.mpg.de/srm/ Paper: arxiv.org/abs/2502.21075 Code: github.com/Chrixtar/SRM

Hello bluesky-world :) Introducing 𝗠𝗘𝘁𝟯𝗥: 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗩𝗶𝗲𝘄 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗜𝗺𝗮𝗴𝗲𝘀. Lacking 3D consistency in generated images is a limitation of many current multi-view/video/world generative models. To quantitatively measure these inconsistencies, check out Mohammad Asims new work!