Diversity Panel
Join us at Eurographics 2026 for a timely panel on Fair Access to Compute: The Emerging Inequality in the Age of AI. As modern computer graphics and AI research increasingly depend on large-scale computational resources, a new kind of inequality is taking shape. Today, groundbreaking results often come from institutions or companies with access to vast GPU clusters, while talented researchers—especially students and early-career academics at smaller universities—may struggle to compete despite having equally strong ideas.
This panel will examine whether our community is unintentionally reinforcing a “compute-rich vs compute-poor” divide, and what we can do to ensure that innovation in graphics remains accessible to all. We will discuss concrete steps the field can take: designing fairer reproducibility standards, creating limited-compute submission categories, managing expectations around training budgets, and supporting research that does not rely on industrial-scale compute. Our goal is to foster a more equitable research ecosystem—one where creativity and insight matter more than access to hardware.
Whether you are a researcher navigating compute limitations, a member of industry shaping the next generation of tools, or simply someone invested in building a fair and inclusive graphics community, we invite you to join the conversation and help shape practical solutions.
This year’s panel brings together outstanding researchers who engage in initiatives promoting inclusion and equal access within the computer graphics community to ensure broader participation from underrepresented groups.
The invited panelists include:
Chenxi Liu
University of Toronto Dynamic Graphics Project
Chenxi Liu is a postdoctoral researcher in the Dynamic Graphics Project at the University of Toronto, working with Alec Jacobson. Chenxi's research focuses on computational methods for understanding and assisting visual creation, including interactive model merging for image generation, 2D neural fields, and sketch processing. Chenxi holds a Ph.D. from the University of British Columbia under the supervision of Alla Sheffer, and has interned at Adobe Research and Disney Research.
Ursula Augsdörfer
Graz University of Technology, Intelligent Geometry and Simulation Group
Ursula Augsdörfer leads the Intelligent Geometry and Simulation Group at Graz University of Technology. Her research focuses on advancing methods at the intersection of geometry and machine learning, with an emphasis on practical applications and interdisciplinary collaboration. Beyond her academic work, she is committed to fostering a more inclusive and supportive research community.
Michael Guthe
University of Bayreuth, Visual Computing Group
Michael Guthe leads the Visual Computing Group at the University of Bayreuth. His research focuses on 3D modeling and rendering with applications in industry, cultural heritage, and medicine. Beyond his research, he is active in university politics, having served as dean, dean of studies, and member of the anti-discrimination board.
Karina Rodriguez Echavarria
University of Brighton
Karina Rodriguez Echavarria is a Professor of Visual Computing at the University of Brighton. With a background in Computer Science, her research interests include computing technologies and digital infrastructures for the digitisation of objects and environments, and the information management of visual representations, with a focus on Cultural Heritage applications. She also leads the UKRI-funded Digital Skills Network in Arts and Humanities (DISKAH), which aims to broaden digital skills for digital research infrastructures. She is also the Editor-in-Chief of the ACM Journal of Computing and Cultural Heritage, and chairs the Eurographics Workshops and Symposia Board.
Rosalie Martin
Adobe Research
Rosalie Martin is a senior research engineer at Adobe Research. Her primary research focus is computer vision applied to digital materials, with a particular interest for digital material capture, generation and editing. She has explored the ill-posed single image material capture problem. Recently, she has developed a line of work related to sustainability, focusing on raising awareness of the environmental impact of the digital industry and generative technologies, and leveraging computer graphics to mitigate environmental issues.
Contact
For any questions concerning diversity panel, please do not hesitate to contact the program co-chairs:
· Zahra Montazeri, University of Manchester
Email: zahra.montazeri@manchester.ac.uk
· Junqiu Zhu, Shandong University
Email: junqiuzhu27@gmail.com