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DLSS 5 注视点渲染模组声称性能近乎翻倍

AI 总结

据 Tom's Hardware 报道,两个社区项目将注视点渲染引入 DLSS 5 Neural Rendering:maximedgoulet 的 Foveated DLSS5 是一个 ReShade 插件,ClarkCheekyKent 的 CheekyFoveatedDLSS 则可独立集成。这些模组并不改变图像分辨率,而是调整 DLSS 5 Neural Rendering 的细节层次:画面中心保持最高质量,越靠近边缘细节越低;用户可分别设置中心区域的宽度与高度,并调整过渡衰减速度。报道中的性能提升来自 maximedgoulet 在 Reddit 上的自述数据——《巫师3》在 RTX 4090、7680x2160 分辨率下从 48 帧升至 80 帧,Tom's Hardware 引用该数据但未做独立验证。

深度见解

模组作者已在改变 DLSS 5 Neural Rendering 的 GPU 开销分配方式,显示社区正围绕英伟达的 AI 渲染管线自行调优,而不只是等待游戏层面的支持。

Popular graphics post-processing injector software ReShade, commonly used to mod DLSS 5 into unsupported games, now has a foveated imaging add-on, including another standalone project that doesn't need precursor software, allowing DLSS 5 to affect only what's in view, reducing GPU load and increasing FPS.

Foveated imaging is nothing new; it's a technique that's been used in VR to increase performance. It works by only rendering what's in view, often increasing the resolution in the center and reducing it at the edges. Our eyes work in a similar way, with the clearest image in a small area in the center of your vision, blurring on the edges. With foveated rendering, you barely notice the lower-resolution edges as the peripheral vision is less concerned with fine details.

I made a foveated rendering mod for DLSS5 than can double performance by reducing the resolution inputs near the edges from r/DLSS

Instead of varying the resolution of the image, however, it varies the level of detail in DLSS 5 Neural Rendering. DLSS NR loads a whole AI model into your GPU and renders images in real time, making it a resource-intensive task; but the task is minimized greatly when most of the detail is only asked for in the middle of the image. That's what projects like maximedgoulet’s Foveated DLSS5 and ClarkCheekyKent’s CheekyFoveatedDLSS aim to do; with Foveated DLSS being a ReShade add-on and CheekyFoveatedDLSS capable of being a standalone integration.

#NVIDIA#DLSS 5 Neural Rendering#ReShade#Foveated DLSS5#CheekyFoveatedDLSS#The Witcher 3#RTX 4090#UEVR

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