I build a feature upsampler called PixelUp
Hey r/computervision!
This is my first post here...
I’ve been working on PixelUp, a zero-shot feature upsampler for Vision Foundation Models (VFMs), and wanted to share it here!
Most VFMs produce semantically rich features, but they’re usually on a pretty coarse patch-level grid (often ~16× lower resolution than the input). This can be limiting for dense vision tasks where fine spatial details really matter.
PixelUp upsamples these coarse VFM features to pixel-level representations, while preserving their semantic information.
I’ve also put together an interactive demo on the project page where you can drag a lens across an image and compare the original coarse VFM features with PixelUp’s upsampled features. It’s pretty fun to play around with :)
📄 Preprint: https://arxiv.org/abs/2608.02792
🔬 Project + interactive demo: https://pixelup-project.vercel.app/
💻 Code: https://github.com/deepankkumar/PixelUp
Would love to hear your thoughts or feedback!