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The feature was first unveiled during CES 2023 as RTX Video Super Resolution. [3] The feature uses the on-board Tensor Cores to upscale browser video content in real time. [ 4 ] The feature is currently only available on RTX 30 and 40 series gpus with support for 20 series gpus coming in the future. [ 5 ]
DLSS 3.0 makes use of a new generation Optical Flow Accelerator (OFA) included in Ada Lovelace generation RTX GPUs. The new OFA is faster and more accurate than the OFA already available in previous Turing and Ampere RTX GPUs. [29] This results in DLSS 3.0 being exclusive for the RTX 40 Series. At release, DLSS 3.0 does not work for VR displays.
Video super-resolution finds its practical use in some modern smartphones and cameras, where it is used to reconstruct digital photographs. Reconstructing details on digital photographs is a difficult task since these photographs are already incomplete: the camera sensor elements measure only the intensity of the light, not directly its color.
OpenVR SDK was released to the public on 30 April 2015 by Valve, for developers to develop SteamVR games and software. It provides support for the HTC Vive Developer Edition, including the SteamVR controller and Lighthouse.
Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.
The device is a fully enclosed mixed reality headset that strongly utilises video passthrough. While some VR experiences are available on the device, it lacks standard VR headset features such as external controllers or support for OpenXR and is instead branded as a "spatial computer". [70] [71]
Other than directly using VR in therapy, medical researchers are also using VR to study different conditions, for instance, researchers have leveraged VR to investigate how people with social anxiety learn and make decisions. Ultimately, researchers aim to better understand medical conditions, in order to improve medical intervention and therapy.
Edge enhancement is an image processing filter that enhances the edge contrast of an image or video in an attempt to improve its acutance (apparent sharpness).. The filter works by identifying sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increasing the image contrast in the area immediately around the edge.