AMD Researches Neural Supersampling and Denoising for Real-Time Path Tracing
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AMD aims to catch up to Nvidia's DLSS with "neural supersampling"
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. Something to look forward to: Thanks to its DLSS tech, which has become something of a gold standard, Nvidia has always led the charge when it comes to upscaling and denoising techniques for
[2]
AMD Begins Working On Its Own Neural Supersampling & Denoising Techniques For RDNA-Based GPUs, Competitor To DLSS Ray Reconstruction
AMD's upcoming FSR package could solve the noise issue on path-traced frames with AMD's proprietary neural supersampling and denoising techniques. AMD will reportedly follow NVIDIA (DLSS Ray Reconstruction) in its course for developing AI-based denoising techniques & neural supersampling NVIDIA
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AMD research suggests plans to catch up to Nvidia using neural supersampling and denoising for real-time path tracing
Nvidia currently dominates the GPU market, thanks to a combination of performance, features, and brand recognition. Its advanced AI (Artificial Intelligence) and machine learning-based technologies have proven particularly potent, and AMD hasn't really caught up, especially in the consumer market.
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AMD could swipe some of the best features of Nvidia GPUs | Digital Trends
Nvidia overwhelmingly dominates the list of the best graphics cards, and that largely comes down to its feature set that's been enabled through DLSS. AMD isn't sitting idly by, however. The company is researching new ways to leverage neural networks to enable real-time path tracing on AMD graphics
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AMD drops a possible hint about how AI could be used in its next-gen upscaler package, FSR 4
Does this mean RDNA 4 GPUs will have dedicated hardware for this stuff? Possibly. In a post on GPUOpen, a site for game and graphics developers, AMD may well have let slip that it plans to take a leaf from Nvidia's book of rendering tools by including a ray tracing denoiser system in its next
[6]
AMD's RDNA team says its working toward AI-powered 4K Path Tracing for Radeon GPUs
AI-Assisted TLDR: NVIDIA's DLSS 3.5 Ray Reconstruction, introduced in 2023, significantly enhances PC game visuals by improving ray-traced effects with AI-powered denoising. This technology sharpens reflections and enhances lighting realism, making games look better on GeForce RTX systems.*
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AMD is developing AI-powered neural supersampling and denoising techniques for real-time path tracing on RDNA GPUs, potentially catching up to Nvidia's DLSS technology.
AMD's Push for Neural Supersampling and Denoising
AMD has announced its active research into neural techniques for Monte Carlo denoising, aiming to achieve real-time path tracing on RDNA GPUs
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. This move signals AMD's intention to catch up with Nvidia's DLSS (Deep Learning Super Sampling) technology, which has set the gold standard for upscaling and denoising in demanding ray-traced game scenes2
.The Challenge of Real-Time Path Tracing
Path tracing, a computationally intensive technique that uses raytracing for all lighting calculations, requires a drastic reduction in light ray samples per pixel to achieve real-time performance. This reduction introduces noise in the form of incomplete illumination data that needs to be cleaned up
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.AMD's Innovative Approach
The innovation AMD is working on is a single neural network model that combines upscaling and denoising into one step. This unified process aims to simultaneously reconstruct complete scene details while removing noise
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. AMD's technique could potentially replace multiple denoisers used for different lighting effects in rendering engines, performing all denoising in a single pass at low resolution4
.Comparison with Nvidia's DLSS
While Nvidia's DLSS technologies require dedicated AI hardware on RTX GPUs, AMD's current GPUs generally lack AI acceleration features. RDNA 3 GPUs have AI accelerators that share execution resources with the GPU shaders, but in a more optimized way for AI workloads
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.Potential Implementation and Compatibility
It's unclear whether AMD's new technology will work across all RDNA generations or just on future RDNA 4 and newer GPUs. The most likely scenario is that this neural denoising magic may be part of an FSR 4 release, perhaps even in a limited form
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. AMD may consider a two-tier FSR 4 system, similar to Intel's XeSS, where the full AI-powered package only works on RDNA 4 chips, but a slower and less impressive version is available for everyone5
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Implications for Future AMD GPUs
This research could potentially lead to a new version of AMD's FSR (FidelityFX Super Resolution) that might match Nvidia's performance and image quality standards. It also raises questions about whether future RDNA GPUs will have dedicated hardware for AI calculations, similar to Nvidia's tensor cores
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.Industry Impact
If successful, AMD's neural supersampling and denoising techniques could bring accessible, high-fidelity graphics to a broader range of hardware. However, given the demands of path tracing in games like Alan Wake 2 and Cyberpunk 2077 RT Overdrive, AMD may need much faster hardware than existing products to reach higher levels of image fidelity
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