Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

A novel suite of technologies and an inexpensive platform based on Artificial Intelligence for remote access to live performing arts with an immensely improved feeling of presence

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Report on system architecture (opens in new window)

This report provides a high-level breakdown of the system into building blocks to achieve the following functionalities:1. Egocentric projection of the live video feed2. gaze prediction3. real-time adaptation of the live-streamed video (gaze-contingent super-resolution)4. a customizable intelligent virtual companion with LLM-driven dialogue-based user interaction capabilities 5. social interaction capabilities inside a Metaverse room, making use of VR technology, and fully conforming with inclusive research principles.

Website and social media accounts (opens in new window)

These will be the website and social media accounts of ACCESS that will be used to promote visibility of its ambition and achievements, according to our Dissemination and Exploitation plan.

Publications

CMAD: Conditional Modeling-Adapter Diffusion for Video Super-Resolution (opens in new window)

Author(s): Chengzhang Wang, Jiahao Nie, Zhiwei He, Sotirios Chatzis
Published in: Lecture Notes in Computer Science, Advances in Visual Computing, 2026
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-14495-9_9

Gaze Prediction in Virtual Reality Without Eye Tracking Using Visual and Head Motion Cues (opens in new window)

Author(s): Christos Petrou, Harris Partaourides, Athanasios Balomenos, Yannis Kopsinis, Sotirios Chatzis
Published in: Lecture Notes in Computer Science, Advances in Visual Computing, 2026
Publisher: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2601.18372

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available

My booklet 0 0