征稿信息
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
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