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.
Confirmed invited panelists include:
Leticia Mattos Da Silva
MIT Geometric Data Processing Group
Leticia Mattos Da Silva is a fifth-year Ph.D. student in the Geometric Data Processing Group at MIT. She has worked to make academia more accessible and equitable, from advocating for disabled students as Disability Justice Representative on MIT's Graduate Student Council, to mentoring underrepresented students through MIT's Graduate Application Assistance Program (GAAP), to combating food insecurity as a member of MIT's Graduate Student Advisory Group.
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.
Program
TBA
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