PhD student at ETH Zurich and Max Planck Institute for Informatics

Zurich, Switzerland
Joined August 2021
1/ Excited to present FunREC: "Reconstructing Functional 3D Scenes from Egocentric Interaction Videos" at #CVPR2026! FunREC builds functional, interactable 3D digital replicas of real-world environments from a single egocentric interaction video. 👇 Here's me turning my own kitchen into a functional 3D digital twin, just by interacting with it. 🔗 Project page: functionalscenes.github.io 📄 Paper: arxiv.org/abs/2604.05621 🗓️ Poster: Session 4 (#654), Sat Jun 6, 16:45–18:45, ExHall A
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Alex Delitzas retweeted
🚀 New from our team: CoMind (comind.ethz.ch/) - a dataset for AI that understands not just what I am doing, but what WE are doing together. Two people. Two egocentric views. Gaze. Speech. 3D scenes. Social cues. Accepted at #ECCV2026 🧵👇
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Kicking off @eccvconf tomorrow morning in 📍MalmöMässan (Room B) with: 🔹9:10: Matthias Niessner @MattNiessner (TUM/SpAItial) 🔹9:40: Dima Damen @dimadamen (Bristol/Google) 🔹11:00: Carl Doersch @CarlDoersch (Google) 🔹11:30: Peter Kontschieder (Meta) ➡️opensun3d.github.io
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Alex Delitzas retweeted
📢 Looking for #PhD? Ψάχνεις για #διδακτορικό? My team #3DI has 3 open positions in our #ERC project on perceiving 3D human-object interaction; a step towards world models for avatars/physical-AI! 👉Apply: dtzionas.com/apply/ →Early 🐦 eats 🪱 📍@Auth_University Thessaloniki/Greece 🙏Plz help spread the word
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How well do vision foundation models understand the parts and the structure of objects? Introducing SOCO, our benchmark for Semantic Object Correspondence, appearing as a Spotlight at #ECCV2026. 🌐 genintel.github.io/SOCO/ 👇
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Alex Delitzas retweeted
Does 3D reconstruction have to be complex? We answer this question with PointDiT (#ICML2026): a minimalist pixel-space Diffusion Transformer without bells and whistles. We show that a plain ViT can estimate dense 3D point maps by operating directly on raw patches. No hybrid ViT+Conv architectures, no lossy VAEs, no complicated training losses. (1/5) 🧵👇
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Alex Delitzas retweeted
How can 4D reconstruction leverage generative priors for unseen dynamics and regions, while respecting the constraints of projective geometry? Introducing World from Motion: a generative method that reconstructs freely-renderable dynamic 3D Gaussians from monocular video. 🧵🔥
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Alex Delitzas retweeted
Happy to share that I’ll be joining Ulm University this fall! We have open PhD positions in egocentric vision and embodied AI, with opportunities for co-supervision by Dima Damen @dimadamen and close collaboration with the Aria team. More details below 👇
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Got unlucky with #ECCV2026 reviews? Strong #3D #research deserves a good home! 👉 Integrate feedback, make your paper bulletproof & submit to #3DV2027! 💪 🎯 Focused audience on #3D topics ⏳ Deadline: August 28 📍 Thessaloniki, Greece 👉 Spread the word! 3dvconf.github.io
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5/ To motivate research on functional 3D scene understanding, we also introduce two new 4D datasets: RealFun4D — 351 in-the-wild human-scene interactions in 60 real-world indoor spaces OmniFun4D — 127 photorealistic simulated interactions in 12 synthetic indoor spaces Both come richly annotated: RGB-D video, camera poses, hand & interacted part masks, 6D part poses, articulation parameters, interaction intervals, action text descriptions, and full 3D reconstructions of the static scene + every moving part.
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7/ Joint work with Alexey Gavryushin, @cyrus_zhang1, Tommaso Di Mario, Boyang Sun, Rishabh Dabral, Leonidas Guibas, Christian Theobalt, @mapo1, @FrancisEngelman & @majti89 🙌 @cvg_ethz · @VcaiMpi · @Stanford · Microsoft Spatial AI Lab · Thinking Shapes Lab @USI_university
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Happening now, @AlexDelitzas presenting FunREC "Reconstructing Functional 3D Scenes from Egocentric Interaction Videos "@CVPR - come check our Poster on Sat. June 6 4:45PM-6:45PM
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Alex Delitzas retweeted
Join us at @ETH_en for an afternoon on embodied AI with @JitendraMalikCV, Vladlen Koltun, @ylecun, and @SongShuran. 📍 Location: ETH Zurich, ML Building, Room D28 🗓  Date: Friday, 29 May ⏰ Time: 14:00 – 18:30 ✅ Register here: luma.com/mv3z9bc9
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Had a fantastic time at @zurichnlp🇨🇭amazing audience and discussions! Showed how superquadrics can represent the world, with: - SuperDec super-dec.github.io - SuperFlex superflex3d.github.io - SpaceControl spacecontrol3d.github.io Thanks for the kind invite @aycatakmaz🙏
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Alex Delitzas retweeted
What happens when you combine Meta's Project Aria with custom force-sensing grippers? 🤖👓 The new Hoi! dataset uses the egocentric perspective from Aria glasses to bridge the gap between what is seen, done, and felt; coupling egocentric vision and eye-tracking with real-world force sensing. Great work from our partners at the @ETH_en Computer Vision and Geometry group! We’re looking forward to the presentations and discussions at #CVPR2026. 🥳 📰 Paper: lnkd.in/eXASwxPy 🏠 Webpage: lnkd.in/ePXpWZmW 📢 @mapo1, @zuriich92 , @hermannsblum
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Just as we say goodbye to Vancouver (YVR)🇨🇦🥹, it’s time to reveal our next destination! ✈️ From the Pacific coast to the Mediterranean sea... We are thrilled to announce that #3DV2027 is heading to Thessaloniki, Greece (SKG)! 🇬🇷🥳 See you there in Mid-April 2027! 🌍
🤖 Made with AI
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Alex Delitzas retweeted
AnyUp has been accepted to ICLR 2026 as an oral presentation! ⭐️ I'm looking forward to presenting it in Rio. If you're interested, please come by my talk or poster. 🇧🇷
Super excited to introduce ✨ AnyUp: Universal Feature Upsampling 🔎 Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining. SOTA feature upsampling results while being feature-agnostic at inference time.
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