Imagine a video call where you aren't just a flat image, but a 3D version of yourself that looks and moves naturally in a shared room. This project makes those digital versions feel more human by cleaning up the grainy quality of 3D captures and adding smart assistants that adapt to your culture and language. It's like moving from a stiff puppet show to a living, breathing digital world where everyone feels included.
Current XR experiences rely on rigid avatars and scripted content, which makes digital interactions feel unnatural and exclusive. This limits the ability of businesses to use virtual worlds for authentic human connection, training, and rehabilitation.
An AI-enhanced holoportation pipeline for real-time 3D communication and a generative narrative system for adaptive virtual environments.
If you are a physiotherapy clinic dealing with patients who cannot travel for rehab — this project developed AI-enhanced holoportation that preserves facial dynamics and gestures. This allows therapists to guide movements in a virtual space that feels authentic and safe.
If you are a virtual travel agency dealing with rigid, scripted tours — this project developed generative narrative worlds. This enables co-created stories and context-aware content that reflects the specific culture and goals of the tourist.
If you are a corporate training provider dealing with language barriers in global teams — this project developed inclusive multimodal interaction integrating speech and translation. This ensures training experiences remain usable and trustworthy across different abilities and languages.
Based on available project data, specific pricing for the end-product is not listed, though the project is supported by an EU contribution of EUR 4,336,735.
The project aims for industrial uptake by streamlining APIs and SDKs to enable third-party reuse across four different use cases.
Based on available project data, specific licensing terms are not provided, but the project focuses on creating integrated stacks for third-party reuse.
The project period runs from 2026-08-01 to 2029-07-31.
The project focuses on improving RGB-D and point-cloud pipelines and developing SDKs to ensure the technology can be integrated into various immersive systems.
The consortium is well-balanced for commercialization, featuring 10 partners across 5 countries. With a 40% industry ratio (4 industrial partners) and 5 SMEs, there is a strong lean toward market application rather than pure academic research, supported by 2 universities and 2 research centers.
Contact Fundacio Privada I2CAT in Spain
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