This is the DSpace platform of the Eurographics Digital Library. The contents of the Eurographics Digital Library Archive are freely accessible. Only access to the full-text documents of the journal Computer Graphics Forum (joint property of Wiley and Eurographics) is restricted to Eurographics members, people from institutions who have an Institutional Membership at Eurographics, or users of the TIB Hannover. On the item pages you will find so-called purchase links to the TIB Hannover.

As a Eurographics member, you can log in with your email address and password from https://services.eg.org. Please use "LDAP authentication". If you are part of an institutional member and you are on a computer with a Eurographics registered IP domain, you can proceed immediately.

From 2022, all new releases published by Eurographics will be licensed under Creative Commons. Publishing with Eurographics is Plan-S compliant. Please visit Eurographics Licensing and Open Access Policy for more details.

The international journal Computer Graphics Forum (CGF) is jointly published by the Eurographics Association and Wiley (former Blackwell). CGF is a leading journal for in-depth technical articles on computer graphics.

  • Neural Mesh Reconstruction 

    Chen, Zhiqin (Simon Fraser University, 2023-06-16)
    Deep learning has revolutionized the field of 3D shape reconstruction, unlocking new possibilities and achieving superior performance compared to traditional methods. However, despite being the dominant 3D shape representation ...
  • Scalable geometry processing for computer graphics applications 

    Maggioli, Filippo (2023-09-11)
    This thesis explores and investigates scalable solutions, grounded on geometry processing and differential geometry concepts, to different computer graphics tasks. My Ph.D. path gave me the opportunity to probe many research ...
  • Self-Supervised Shape and Appearance Modeling via Neural Differentiable Graphics 

    Henzler, Philipp (2023)
    Inferring 3D shape and appearance from natural images is a fundamental challenge in computer vision. Despite recent progress using deep learning methods, a key limitation is the availability of annotated training data, as ...
  • A Gaze Detection System for Neuropsychiatric Disorders Remote Diagnosis Support 

    Cangelosi, Antonio; Antola, Gabriele; Iacono, Alberto Lo; Santamaria, Alfonso; Clerico, Marinella; Al-Thani, Dena; Agus, Marco; Calì, Corrado (The Eurographics Association, 2023)
    Accurate and early diagnosis of neuropsychiatric disorders, such as Autism Spectrum Disorders (ASD) is a significant challenge in clinical practice. This study explores the use of real-time gaze tracking as a tool for ...
  • A Foveated Framework to Accelerate Real-time Path Tracing 

    Mohanto, Bipul; Kluge, Sven; Staadt, Oliver (The Eurographics Association, 2023)
    We developed a framework to accelerate real-time path tracing through foveated rendering, a robust technique that leverages human vision. Our dynamic foveated path-tracing framework integrates fixations and selectively ...

View more