Happing today! 📣 I'll be presenting our work "CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation" in the morning poster session at #ICCV2025, located at poster no. 136! 🌺 Come by and say aloha! 👋🏻 If you can't make it, check out our project page at leonsick.github.io/cuts3d/

Happy to share our new #SIGGRAPHAsia2025 paper! If you are tired of using marching cubes to extract your mesh from neural implicit representations, check out Marching Neurons! Project: phermosilla.github.io/neurons/ Arxiv: arxiv.org/abs/2509.21007

Happy to share our recent work on hierarchical 3D scene understanding using hyperbolic spaces, which has recently been accepted to #NeurIPS2025 !!! Project: lisaweijler.github.io/openhype-pro...

Are you tired of projecting 2D features into 3D for general problem solving? Try our self-supervised model, which generates semantic off-the-shelf features natively in 3D! #CVPR2025 Project: phermosilla.github.io/msm/ Arxiv: arxiv.org/abs/2504.06719 Github: github.com/phermosilla/...

Check out our latest #CVPR2025 work on masked scene modeling, which learns semantically relevant features by pre-training natively in 3D! 🚀

Pedro Hermosilla@pedrohermosilla.bsky.social · last yr.

Are you tired of projecting 2D features into 3D for general problem solving? Try our self-supervised model, which generates semantic off-the-shelf features natively in 3D! #CVPR2025 Project: phermosilla.github.io/msm/ Arxiv: arxiv.org/abs/2504.06719 Github: github.com/phermosilla/...