FSR Redstone uses artificial intelligence to enhance the visual quality of the latest installment of Call of Duty.
Since the beginning of the year, AMD has been expanding its range of graphics technologies, and Redstone is one of their most important new additions. FSR Redstone is based on machine learning and brings a number of neural rendering technologies that improve game image quality and performance. It is one of the biggest updates to the FSR technology package and appears to have debuted in Call of Duty: Black Ops 7. There, the feature is listed as FSR Ray Regeneration, which likely refers to Redstone. It was known that the feature would be available in newer AAA games. However, it’s important to note that only Ray Regeneration has been implemented in Call of Duty: Black Ops 7; the other elements of the technology package are not yet included in the game. Therefore, this is a partial debut.
“AMD FSR Ray Regeneration is a machine learning–based, real-time denoiser that replaces traditional denoisers to produce sharper details and fewer artifacts in ray-traced effects. Originally announced at Computex, FSR Ray Regeneration is the first feature released in the FSR Redstone suite and will be available in Call of Duty: Black Ops 7 at its launch on November 14. With support for AMD Radeon RX 9000 series graphics cards, AMD FSR Ray Regeneration uses neural networks to process ray-traced reflections and shadows before upscaling and frame generation. This delivers crisp, cinematic visuals and a more immersive experience,” says AMD.
Black Ops 7 has FSR Ray Regeneration (RedStone)
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AMD introduces three new features to its technology: Neural Radiance Cache, Machine Learning Ray Regeneration, and Machine Learning Frame Generation. These features are comparable to Nvidia’s latest DLSS technology, which uses neural networks and artificial intelligence to enhance game visuals. Neural Radiance Caching uses an ML model to predict scenes for efficient real-time global illumination by learning the behavior of light. ML Ray Regeneration uses a machine learning model to predict and filter out grainy noise in real time from noisy, low-sampling-rate renders, offering sharper images while reducing overall rendering costs. ML Super Resolution reconstructs low-resolution images in real time, offering upscaled images. ML Frame Generation inserts new, fake frames between real, rendered frames to improve performance.
The only downside to FSR Redstone that may disappoint AMD users is that the feature was originally reserved exclusively for RDNA 4 GPUs, and Radeon RX 9000 cards are not particularly popular.
Source: WCCFTech




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