“Assessing Video Quality in Real-time Computer Graphics” by Jindal and Sochenov – ACM SIGGRAPH HISTORY ARCHIVES

“Assessing Video Quality in Real-time Computer Graphics” by Jindal and Sochenov

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    Assessing Video Quality in Real-time Computer Graphics

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    As real-time graphics grow increasingly sophisticated, assessing video quality has become critical for optimizing rendering pipelines and cloud gaming experiences. Traditional metrics like PSNR fall short in capturing perceptual artifacts unique to modern techniques such as path tracing and neural supersampling. This Birds of a Feather session invites researchers, developers, and artists to discuss the evolving landscape of video quality assessment in graphics. We’ll explore recent advances like Computer Graphics Video Quality Metric (CGVQM), limitations of existing methods, and future directions including semantic-aware, temporally consistent, and no-reference approaches. Join us to help shape the future of perceptual quality in graphics.

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