We invite original and innovative performance-oriented contributions to the design of algorithms and hardware architectures, for all areas of graphics in the broadest sense, including rendering, virtual and augmented reality, ray tracing, physics, and animation. We also invite contributions to the emerging areas in visual computing such as high-performance computer vision, and machine learning as well as topics on compiler and language technology. Topics include (but are not limited to):

    Hardware and systems for high-performance graphics
        Graphics hardware simulation, optimization, and performance measurement
        Shading architectures
        Novel fixed-function hardware design
        Hardware design for mobile, embedded, integrated devices
        Streaming, caching, and out-of-core techniques
        Cloud-accelerated graphics systems
        Green computing and rendering on low-power devices
    Real-time and interactive ray tracing hardware or software
        Novel Acceleration data structures
        Novel BVH construction, traversal and optimization techniques
        Ray traversal, sorting, batching and intersection techniques
        Scheduling and shading for ray tracing
        Hybrid rendering with rasterization and ray tracing
        Hardware-acceleration for ray tracing
        Novel use cases of ray tracing hardware (e.g., audio and physics)
    Rendering algorithms
        Surface representations and tessellation algorithms
        Static and animated volumetric data representation and rendering
        Compression/decompression for geometry, textures and acceleration structures
        Interactive rendering algorithms
        Physically-based rendering algorithms and data structures
        Image sampling, reconstruction, and filtering techniques
        Vector graphics
        Denoising for rendering
        Lightfield rendering, processing and manipulation
        Approaches for spatial and temporal reuse of samples and importance
    High-performance machine learning techniques
        High-performance machine learning systems for graphics
        Deep learning approaches with a focus on real-time graphics and image generation
        Neural rendering
        Hardware-acceleration for machine learning
    High-performance and real-time computer vision
        Real-time computer vision techniques; e.g., image and video processing
        Visual data analysis and scene understanding
        Large-scale computer vision systems (efficient data management/processing)
    Programming models, languages, and compilation techniques
        Programming models and languages for graphics, vision, and image processing
        APIs for real-time ray tracing
        Shading language design and implementation
        Programming abstractions for interactive rendering pipelines
    Parallel computing for graphics and visual computing applications
        Physics, sound processing, and animation
        Large data visualization
        Novel applications of GPU computing
    Perception-based graphics and emerging display technologies
        Virtual and augmented reality systems
        Low-latency rendering and high-performance processing of sensor input
        Rendering optimizations based on human perception
        Human-centered interaction and visualization
        Perceptually motivated image and video quality metrics
        Advances in human visual understanding