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The data DLSS 2.0 collects includes: the raw low-resolution input, motion vectors, depth buffers, and exposure / brightness information. [13] It can also be used as a simpler TAA implementation where the image is rendered at 100% resolution, rather than being upsampled by DLSS, Nvidia brands this as DLAA (deep learning anti-aliasing). [24]
Davinci Resolve only had 100 users in 2009; however, since being acquired by Blackmagic Design, the software had a user base of more than 2 million using the free version alone as of January 2019. [92] This is a comparable user base to Apple's Final Cut Pro X, which also had 2 million users as of April 2017. [93]
Pixelmator Pro is a photo, video, [1] and vector [2] graphic editor developed by Pixelmator Team for macOS as part of its Pixelmator set of apps. As a Mac-only app, Pixelmator Pro relies heavily on technologies from Apple platforms such as Metal, CoreML, Core Image, AVFoundation, GCD, and SwiftUI.
[64] [65] Released in 2022 on Hugging Face's Spaces platform, Craiyon (formerly DALL-E Mini until a name change was requested by OpenAI in June 2022) is an AI model based on the original DALL-E that was trained on unfiltered data from the Internet. It attracted substantial media attention in mid-2022, after its release due to its capacity for ...
For example, the task of generating high-resolution face images from low-resolution inputs is called face hallucination. [13] [14] In the late 2010s, the term underwent a semantic shift to signify the generation of factually incorrect or misleading outputs by AI systems in tasks like translation or object detection. [13]
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