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NVIDIA at GDC 2023: Frame Generation and Path Tracing Tools Now Available Generate frames with the latest breakthrough in AI rendering Announced with the NVIDIA Ada Lovelace architecture, DLSS 3 raised the bar not just for visuals but also performance and responsiveness. Frame generation is the latest evolution. OMM SDK 1.0
Since the introduction of the GeForce RTX 20 Series, NVIDIA has paved the way for groundbreaking graphics with novel research on how AI can enhance rendering and improve computer games. It multiplies performance using AI to generate frames all while delivering best-in-class image quality and responsiveness.
This is part one of a series of posts I’m going to do about SecondHand’s AI, check out the intro here. Because AI robustness goes hand in hand with good level design and balancing. Let’s build a Filter that takes a point, that does a nav-mesh line of sight check towards the center. multiple targets.
DLSS is powered by dedicated AI processors on RTX GPUs called Tensor Cores. Nsight Graphics Nsight Graphics is a standalone developer tool that enables you to debug, profile, and export frames built with DirectX12, Vulkan, OpenGL, and OpenVR. Profile while you’re in-application, upgrade your CI/CD, and be one with the GPU.
Such use-after-free access needs to be guarded with is_instance_valid(obj) , but this has been surprisingly difficult to get right due to a number of bugs and inconsistencies between debug and release builds. As well as performing occlusion culling it also provides a solution for throttling AI and processing based on proximity to the viewer.
By adding a simple cache to it, we made it so that light map texture coordinates are only computed when there's an actual change to the geometry of the mesh. If I still have some time left I will take a look at adding some sort of AI denoiser, but I can't promise anything :). These can only be dealt with manually while debugging.
NVIDIA DLSS Plugin for UE4 DLSS is a deep learning super resolution network that boosts frame rates by rendering fewer pixels and then using AI to construct sharp, higher resolution images. Dedicated computational units on NVIDIA RTX GPUs called Tensor Cores accelerate the AI calculations, allowing the algorithm to run in real-time.
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