📢 New paper CVPR 25! Can meshes capture fuzzy geometry? Volumetric Surfaces uses adaptive textured shells to model hair, fur without the splatting / volume overhead. It’s fast, looks great, and runs in real time even on budget phones. 🔗 autonomousvision.github.io/volsurfs/ 📄 arxiv.org/pdf/2409.02482

AWESOME course (with videos) 🚨 #MachineLearning for Inverse #Graphics with @vincentsitzmann.bsky.social 💪 Includes a lecture on Gaussian Splatting Course: www.scenerepresentations.org/courses/2023...

I will be presenting Gaussian Garments next week at #3DV2025 Thursday, March 27, evening poster session, poster #17 Don't miss!

🎉🎉🎉 Happy to announce that the code for our paper Gaussian Garments is now public! Link: github.com/eth-ait/Gaus... Gaussian Garments uses a combination of 3D meshes and Gaussian splatting to reconstruct photorealistic simulation-ready digital garments from multi-view videos. 🧵

Graph Transformers (GTs) can handle long-range dependencies and resolve information bottlenecks, but they’re computationally expensive. Our new model, Spexphormer, helps scale them to much larger graphs – check it out at NeurIPS next week, or the preview here! [1/13] #NeurIPS2024

My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch. fleuret.org/dlc/ And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!) fleuret.org/lbdl/

For those who missed this post on the-network-that-is-not-to-be-named, I made public my "secrets" for writing a good CVPR paper (or any scientific paper). I've compiled these tips of many years. It's long but hopefully it helps people write better papers. perceiving-systems.blog/en/post/writ...