AMD FidelityFX Super Resolution to Introduce AI-Based Upscaling

Tsing

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A future version of AMD FidelityFX Super Resolution will leverage AI as part of its upscaling pipeline, according to new statements made by Mark Papermaster, CTO (and EVP) at AMD.

See full article...
 
For those who are more into the coding side of things the Tom's article does have some interesting theories about how it will happen along with a little explanation with how Intel and NVIDIA are doing it. Its towards the end of their article.
 
FSR 4 Redstone Pathtracing (Firestone) could run on 'any' GPU thanks to ML2CODE framework

AMD announces FSR Redstone for RDNA4: Neural Radiance Caching, ML Ray Regeneration and Frame Generation

"The next step is FSR Redstone, a new version of super resolution and frame generation. This version will focus on three key features: Neural Radiance Caching, machine learning-accelerated Ray Regeneration, and machine learning accelerated Frame Generation."


"Hall began by saying something surprising. FSR Redstone is implemented so that it can run even if the GPU does not have AI acceleration capabilities at runtime. Despite being a machine learning/AI-based technology, it does not require AI acceleration on the GPU side."


"FSR Redstone was developed using AMD ML2CODE (Machine Learning to Code), a research project from ROCm. The core part of the neural rendering technology is converted into optimized Compute Shader code by utilizing ML2CODE."


ML2CODE is included in AMD's GPU computing (GPGPU) platform, ROCm 6.1 and later.

Rather than executing trained AI cores at runtime, it optimizes them as existing Compute Shader code and enables native execution.



A Japanese tech journalist, Zenji Nishikawa, came to San Jose, USA & interviewed Chris Hall AMD's software head of ROCm on FSR 4 Firestone

It appears Firestone path tracing software can run on any GPU since it is compiled to shader code using ML2CODE framework

Screenshot_20250913-130704_Opera.jpg
 
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