TRANSMIXR / TCD

This page is about research activities at the Graphics and Vision Lab of Trinity College Dublin, who are partners in the TRANSMIXR EU Project. For more details of the full TRANSMIXR project and consortium, please see the consortium website: transmixr.eu.

Vacancy #1: Research Position in Graphics and XR

Our Team at TCD are looking to hire a postdoctoral researcher to work, at the Graphics and Vision Lab at Trinity College, on developing Extended Reality (XR) creation and experience environments of the future. In particular, our group's role centers around the integration of Volumetric Video in such environments. The researcher will collaborate with the multidisciplinary partners in the EU Horizon funded TRANSMIXR project, contributing technical efforts towards project activities including:

• Design and development of an Extended Reality Media Collaborative Creation Environment that will enable story creators to collaborate in a distributed manner, allowing them to interact, manipulate, and combine content, such as Volumetric Video, to produce novel XR media experiences.
• Design and development of an Extended Reality Media Experience Environment that will leverage a range of technologies (including volumetric video, 360 and 2D video, motion capture animation, web and social media content) to enable active immersive content consumption experiences for end users, facilitating multimodal and naturalistic interactions with physical and virtual objects, and realisation of shared social XR experiences.
• Collaboration with end-user domain partners (including news media, performing arts and cultural heritage) and technology providers in the development and deployment of Use-case Pilots that demonstrate the impact of XR creation workflows and experiences environments, in particular working to ensure compatibility and technical interoperability of the XR technological components during development.

Closing date 6th April, 2023 (or until position is filled, thereafter)

For more information, see the detailed job specification: PDF

Vacancy #2: Research Position in AI and Volumetric Video

Our Team at TCD are looking to hire a postdoctoral researcher to work, at the Graphics and Vision Lab at Trinity College, on the development of novel techniques for Semantic Understanding of Volumetric Video. The ideal candidate should have recently graduated with a PhD or have had several years of experience conducting research after Masters in the areas Computer Vision and Deep Learning, with some experience also of Computer Graphics.

The position will involve research in Computer Vision, AI and Graphics techniques to allow better usage and integration of Volumetric Video content into future XR experiences and applications. The project will involve semantic 3D segmentation and understanding of 3D geometry in volumetric video, to support search and retrieval of volumetric video data sets and improve its integration and interoperability with more traditional 3D assets. One area of focus will be on achieving temporal consistency through geometry tracking, correspondence estimation, automated rigging. The developed algorithms will be applied in use cases and demonstrators of the TRANSMIXR project.

For more information, see the detailed job specification: PDF

PhD Position

We are looking to recruit a PhD student, who will be funded by the D-REAL Phd programme [https://d-real.ie/], investigating 3D graphics, vision and AI techniques to improve the use of volumetric video for interactive Extended Reality (XR) technologies.

An advantage of volumetric video is that it facilitates personalised and photorealistic animations of subjects without need for editing by experienced animators. However, most current applications merely treat volumetric video as a linear sequence of frames with limited possibility for interaction. The project will investigate extensions to volumetric video including:

• flexible reuse such as retargeting, time-warping or seamlessly transitioning between independently recorded clips, while preserving the personalised and realistic appearance of the subject;
• improving seamless integration in XR, avoiding unrealistic intersections with the real environment, and matching physical events in the volumetric video with viable interaction points in the real-world environment;
• adaptation of volumetric video in real-time to integrate and improve shared XR experiences.