La situazione sta un pelino sfuggendo di mano #Chiellini #Saka

“Yeah, but they haven’t demonstrated they can go *up* the stairs.” x.com/slender_sherbe…

Happy to release the code for our new paper "Self-Distillation for Unsupervised 3D Domain Adaptation" accepted at WACV2023! Code and paper can be found here: cvlab-unibo.github.io/FeatureDistill… A big thanks to my colleagues Pierluigi Zama Ramirez and Riccardo Spezialetti

Signals are networks so networks are data and so networks can process other networks to understand and generate signals. Puzzled ? Check out out our #iclr2023 paper (cvlab-unibo.github.io/inr2vec/) Deep Learning on Implicit Neural Representations of Shapes

Can we process hybrid neural fields to solve downstream tasks such as 3D object classification/segmentation? In this new work, we show that using hybrid representations such as tri-planes can provide many advantages over neural fields parametrized as MLP: arxiv.org/abs/2310.01140

Coming to #ICLR2024: what's the best way to extract information from implicit neural representations (INRs)? We show that tri-planes alone are enough to effectively classify or segment 3D objects in neural fields. 🧵