The Eurographics Symposium on Rendering 2024 will take place from Wednesday, July 3 through Friday, July 5, at Imperial College, London, United Kingdom. This 35th event continues the series of highly successful Eurographics Symposia and Workshops on Rendering.

This year, EGSR features two paper submission tracks: the Research Track and the Industry/Positions Track.

Research Track

All accepted research papers will be presented at EGSR 2024 and archived in the Eurographics digital library. Furthermore, a selection of them will be published in an issue of the Computer Graphics Forum (CGF) journal, based on both the recommendations of the reviewers and the outcome of a second cycle of review.

We are looking for work that shapes the future of image synthesis in computer graphics and related fields, such as human perception, mixed and augmented reality, deep learning, and computational photography.

There is no fixed minimum or maximum paper length. However, length must be proportional to contribution, and submissions over 12 pages in length will be treated as exceptional cases.

For each submitted paper, a minimum of three reviews will be provided to the authors, who will then be able to provide a rebuttal to clarify misunderstandings and answer the reviewers’ questions. The reviewers will then discuss and decide on the acceptance of the paper to the EGSR 2024 program. In the event of acceptance, the authors will submit a revised version of their manuscript prior to the conference. At least one author is expected to register and present their work in person.

Topics of interest

We invite original contributions that advance the state-of-the-art in topics related, but not limited, to:

    Physically based rendering and global illumination
    Monte Carlo sampling, reconstruction, and integration
    Real-time rendering, including ray tracing, acceleration structures, and GPU algorithms
    Rendering software systems
    Specialized rendering hardware systems
    Inverse and differentiable rendering
    Image processing for rendering and compositing, such as denoising, matting, deblurring, colorization
    Image manipulation, such as warping, inpainting, relighting
    Machine learning for rendering, rendering for machine learning
    Deep generative models of image synthesis
    NeRF or 3D Gaussian splat representations for rendering
    Material and scattering models
    Acquisition, modeling, and fabrication of geometry, appearance, and illumination
    Color science, spectral modeling and rendering
    Face and human capture and rendering
    Computational photography, optics, and displays
    Image-based rendering (IBR), lightfields
    Expressive/Non-Photorealistic rendering (NPR)
    Vector graphics and other non-pixel-based rendering formats
    Procedural modeling, texturing, and simulation
    Augmented/virtual/mixed reality, including rendering, input, and output technologies
    Human perception on rendering
    Scientific visualization, e.g. large-scale data visualization and volume rendering
    Audio/sound rendering