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AMD in its Computex 2025 keynote address announced an overview of FSR 4 implementation. FSR 4 introduces a new AI Machine Learning-based super resolution algorithm that's more accurate, and vastly improves image quality at every performance preset. AMD also announced FSR "Project Redstone." This is a future version extension of FSR, and "Project Redstone" is its working title. "Redstone" combines the AI ML super resolution introduced by FSR 4, with three new features—neural radiance caching, an AI ML-based Ray Regeneration, and AI ML-based Frame Generation. The company plans to launch "Redstone" in the second half of 2025.
All three features being introduced by "Project Redstone" aim to achieve technological parity with NVIDIA DLSS 3.5 and DLSS 4, particularly in AAA games with ray tracing enabled. Neural Radiance Caching sees an AI ML model continually learn how light bounces in a scene to predict and store indirect lighting, which reduces the performance cost of ray tracing. AMD FSR "Redstone" Ray Regeneration is functionally similar to NVIDIA DLSS 3.5 Ray Reconstruction. It uses a neural network to regenerate pixels that couldn't be accurately path-traced. This should improve the quality of reflections, particularly when super resolution is used. The next big announcement of course is a new AI ML-based model for Frame Generation.
AMD has been using a slightly spruced up interpolation technology as its take on Frame Generation, which it introduced with FSR 3. With "Project Redstone," AMD is replacing this method of frame generation with a new ML-based model that incorporates temporal and spatial awareness to generate interleaving frames with greater accuracy and image quality. This isn't multi-frame generation, but the 2x frame-rate doubling NVIDIA achieved with RTX 40-series "Ada," but with greater image quality.
AMD announced that over 60 game titles support FSR 4. Integrating FSR 4 is as easy as it was for game developers to integrate FSR 3.1, so it should be fairly straightforward for devs to push patches to their existing FSR-enabled titles to support the latest version.
View at TechPowerUp Main Site
All three features being introduced by "Project Redstone" aim to achieve technological parity with NVIDIA DLSS 3.5 and DLSS 4, particularly in AAA games with ray tracing enabled. Neural Radiance Caching sees an AI ML model continually learn how light bounces in a scene to predict and store indirect lighting, which reduces the performance cost of ray tracing. AMD FSR "Redstone" Ray Regeneration is functionally similar to NVIDIA DLSS 3.5 Ray Reconstruction. It uses a neural network to regenerate pixels that couldn't be accurately path-traced. This should improve the quality of reflections, particularly when super resolution is used. The next big announcement of course is a new AI ML-based model for Frame Generation.



AMD has been using a slightly spruced up interpolation technology as its take on Frame Generation, which it introduced with FSR 3. With "Project Redstone," AMD is replacing this method of frame generation with a new ML-based model that incorporates temporal and spatial awareness to generate interleaving frames with greater accuracy and image quality. This isn't multi-frame generation, but the 2x frame-rate doubling NVIDIA achieved with RTX 40-series "Ada," but with greater image quality.





AMD announced that over 60 game titles support FSR 4. Integrating FSR 4 is as easy as it was for game developers to integrate FSR 3.1, so it should be fairly straightforward for devs to push patches to their existing FSR-enabled titles to support the latest version.
View at TechPowerUp Main Site