3D computer vision and ML for AR and robotics, @Google and TU Munich
Zürich
Joined October 2012
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Federico Tombari retweeted
Diffusion models spend the same compute on a blank wall as on a face. But you often know in advance where the detail will be.
Introducing Level-of-Token (LoT) Diffusion: we turn that knowledge into a multiresolution token layout, with fine tokens where detail is needed and coarse tokens elsewhere.
1/9🧵
Federico Tombari retweeted
Very excited to present the new member of the DataComp family: DataComp-VLM!!!
I feel blessed to be a part of such a strong team of researchers from all around the world 🌎🌍🌏
For more details, check out the awesome thread by my dear friend @vishaal_urao below👇👇👇
🚀New Paper
arxiv.org/abs/2606.28551
Everyone obsesses over VLM architectures & training recipes. But what about the data?
Presenting the latest work in the DataComp-series: a testbed for VLM data curation with 1,000+ controlled experiments and some surprising lessons 👀
🧵👇
Federico Tombari retweeted
📣New Paper: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation.
🌐 flat-splat.github.io/
🤗: huggingface.co/papers/2606.2…
A feedforward latent scene decoder for generating explicit triangle-based 3D scenes from video diffusion latents.
Federico Tombari retweeted
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers
@zhengshuhong, @mjoech, Erik Sandström, Marie-Julie Rakotosaona, @fedassa, @igilitschenski
tl;dr: inter/intra-frame selection->key/value tokens
arxiv.org/abs/2605.23892
Federico Tombari retweeted
3D Scene Graphs: Open Challenges and Future Directions
Dennis Rotondi, Francesco Argenziano, Sebastian Koch, Nathan Hughes, Martin Buechner, Johanna Wald, Lukas Rosenberger Schmid, Daniele Nardi, Abhinav Valada, @duckietown_coo, @fedassa, @lucacarlone1, Kai O. Arras
tl;dr: in title
arxiv.org/abs/2606.19383
Federico Tombari retweeted
Very excited to share the outcome of my internship @Google where we propose a new elastic visual tokenization architecture:
PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding
arxiv.org/abs/2605.30126
Thread below 🧵👇
Federico Tombari retweeted
Excited and deeply honored to receive the #3D Outstanding Doctoral Dissertation Award! 🏆 Huge thanks to the awards committee and to everyone making 3DV such a blast.
And I couldn't be happier to share this recognition with my long-time friend and colleague @songyoupeng 🙌✨
And finally, the 3DV Outstanding Doctoral Dissertation Award goes to Michael Niemeyer! Congratulations!
@Mi_Niemeyer
Thesis title: "Neural Scene Representations for 3D Reconstruction and Generative Modeling"
#3DV2026
if you are at 3DV this week, don't miss Nina's poster on mono2stereo video conversion
Presenting M2SVid at #3DV2026 today! We tackle Monocular-to-Stereo Video conversion using a end-to-end inpainting and refinement pipeline.
📍 Poster Session 1 (10:15 - 12:00)
🚀 Code and models are now released!
🔗 m2svid.github.io
💻 github.com/google-researc…
@3DVconf
Federico Tombari retweeted
Hiring: Student Researcher @ Google Zurich! 🇨🇭
Looking for an EMEA-based PhD student to work on: Efficient 3DGS / Feedforward Models / 3D GenAI.
Start: June 2026 or earlier.
If interested, please reach out with your CV to: [email protected]
Federico Tombari retweeted
📢 Exciting news: The 1st GenRecon3D is coming to #CVPR2026! 🚀
We are exploring how to reconstruct more than what is directly visible using generative priors. Fantastic speaker lineup coming soon.
📍 Website: genrecon3d.github.io/
#CVPR #GenAI #3DVision
Federico Tombari retweeted
This work was developed during my internship at @GoogleResearch, together with Johanna Wald, @HideMatsu82, @Pedro_He_Ca, Timo Ropinski, and @fedassa.
Federico Tombari retweeted
The next OpenSUN3D workshop and challenge will be held @CVPR 🚀 ✨ #CVPR2026
Website: opensun3d.github.io/
Paper and challenge deadlines coming soon 🏆🗒️
Federico Tombari retweeted
📄 Paper: m-niemeyer.github.io/nexf/st…
🌐 Project page: m-niemeyer.github.io/nexf/in…
This is joint work with Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Christina Tsalicoglou, Keisuke Tateno, @jon_barron , @fedassa.
Federico Tombari retweeted
#SG2RL returns to @ICCVConference 2025 at Honolulu, Hawai'i 🌴☀️
We call for full papers and extended abstracts on all topics around graphs and scene graphs.
Deadline: 26 June (23:59PT)
Website: sites.google.com/view/sg2rl
With our amazing co-organizers: @eadeli @ir0armeni @fedassa
Federico Tombari retweeted
Huge thanks to the amazing team: @Weiyu_Liu_ (co-lead), Siyi Gu, @dill_pkl , Goutam Bhat, @fedassa , @ManlingLi_ , @nickhaber , @jiajunwu_cs
🌐Project site: ai.stanford.edu/~sunfanyun/l…
💻 Code (we plan to open-source everything):
github.com/sunfanyunn/Layout…
n/n
Federico Tombari retweeted
Excited to see our paper "Tokenformer: Rethinking transformer scaling with tokenized model parameters" accepted as a spotlight at #ICLR2025 !
Hope our idea of tokenizing everything can inspire the future of AI.
Paper: arxiv.org/abs/2410.23168
Code: github.com/Haiyang-W/TokenFo…
Federico Tombari retweeted
Joint work with Fan Yue, @ferjadnaeem, @xyongqin, @janericlenssen, Liwei Wang, @fedassa, and Bernt Schiele. Thanks to everyone on that amazing team.😉😀