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CORDIS - Resultados de investigaciones de la UE
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 proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Report on system architecture (se abrirá en una nueva ventana)

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.

Report/Release of algorithms for gaze prediction (se abrirá en una nueva ventana)

This deliverable will pertain to the developed algorithms for gaze prediction. It will provide source code release on GitHub, which will be fully functional for users to download and try. It will also be accompanied with a technical report that will describe our work, how it aligns with our objectives, and how it progresses over the state of the art. The material from this report will also be submitted for peer-review in some major research venue.

Website and social media accounts (se abrirá en una nueva ventana)

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.

Publicaciones

CMAD: Conditional Modeling-Adapter Diffusion for Video Super-Resolution (se abrirá en una nueva ventana)

Autores: Chengzhang Wang, Jiahao Nie, Zhiwei He, Sotirios Chatzis
Publicado en: Lecture Notes in Computer Science, Advances in Visual Computing, 2026
Editor: 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 (se abrirá en una nueva ventana)

Autores: Christos Petrou, Harris Partaourides, Athanasios Balomenos, Yannis Kopsinis, Sotirios Chatzis
Publicado en: Lecture Notes in Computer Science, Advances in Visual Computing, 2026
Editor: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2601.18372

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