Dimitrije Antić
@anticdimi.bsky.social
CV & ML Ph.D. student at @uva.nl | prev. Univ. of Tuebingen, MPI-IS | Teaching machines to perceive humans. | anticdimi.github.io
Reposted by Dimitrije Antić
To bridge this 2D-to-3D gap, we propose "Render-Localize-Lift":
- Render: 3D human/object meshes into multiview 2D images.
- Localize: A Multiview Localization (MV-Loc) model, guided by VLM tokens, predicts 2D contact masks.
- Lift: 2D contact masks to 3D.
(5/10)
- Render: 3D human/object meshes into multiview 2D images.
- Localize: A Multiview Localization (MV-Loc) model, guided by VLM tokens, predicts 2D contact masks.
- Lift: 2D contact masks to 3D.
(5/10)
June 15, 2025 at 12:23 PM
To bridge this 2D-to-3D gap, we propose "Render-Localize-Lift":
- Render: 3D human/object meshes into multiview 2D images.
- Localize: A Multiview Localization (MV-Loc) model, guided by VLM tokens, predicts 2D contact masks.
- Lift: 2D contact masks to 3D.
(5/10)
- Render: 3D human/object meshes into multiview 2D images.
- Localize: A Multiview Localization (MV-Loc) model, guided by VLM tokens, predicts 2D contact masks.
- Lift: 2D contact masks to 3D.
(5/10)
Reposted by Dimitrije Antić
How can we infer 3D contact with limited 3D data? InteractVLM exploits foundational models—a VLM & localization model fine tuned to reason about contact. Given an image & prompt, the VLM outputs tokens for localization. But these models work in 2D, while contact is 3D. (4/10)
June 15, 2025 at 12:23 PM
How can we infer 3D contact with limited 3D data? InteractVLM exploits foundational models—a VLM & localization model fine tuned to reason about contact. Given an image & prompt, the VLM outputs tokens for localization. But these models work in 2D, while contact is 3D. (4/10)
Reposted by Dimitrije Antić
Why does 3D human-object reconstruction fail in the wild or get limited to a few object classes? A key missing piece is accurate 3D contact. InteractVLM (#CVPR2025) uses foundational models to infer contact on humans & objects, improving reconstruction from a single image. (1/10)
June 15, 2025 at 12:23 PM
Why does 3D human-object reconstruction fail in the wild or get limited to a few object classes? A key missing piece is accurate 3D contact. InteractVLM (#CVPR2025) uses foundational models to infer contact on humans & objects, improving reconstruction from a single image. (1/10)
Reposted by Dimitrije Antić
📢 Short deadline extension (24/2) -- One more week left to submit your application!
February 16, 2025 at 10:42 PM
📢 Short deadline extension (24/2) -- One more week left to submit your application!
Passionate about Human-centric Computer Vision? 📸🤖
We’re looking for motivated PhD candidates to join our dynamic team! 🚀
We’re looking for motivated PhD candidates to join our dynamic team! 🚀
📢 I am #hiring 2x #PhD candidates to work on Human-centric #3D #ComputerVision at the University of #Amsterdam!
The positions are funded by an #ERC #StartingGrant.
For details and for submitting your application please see:
werkenbij.uva.nl/en/vacancies...
🆘 Deadline: Feb 16 🆘
The positions are funded by an #ERC #StartingGrant.
For details and for submitting your application please see:
werkenbij.uva.nl/en/vacancies...
🆘 Deadline: Feb 16 🆘
Vacancy — PhD Positions, Project 'Spatiotemporal Reconstruction of Interacting People for Perceiving Systems'
Do you want to help computers see, understand, and assist us, humans, in everyday life? Are you excited with 3D Machine Perception, 3D Human and Object Understanding, 3D Human Avatars, and Machine Le...
werkenbij.uva.nl
January 26, 2025 at 5:54 PM
Passionate about Human-centric Computer Vision? 📸🤖
We’re looking for motivated PhD candidates to join our dynamic team! 🚀
We’re looking for motivated PhD candidates to join our dynamic team! 🚀