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2. Comparison gallery of image scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Comparison_gallery_of...

   Then the resolution-independent version is rendered as a raster image at the desired resolution. This technique is used by Adobe Illustrator Live Trace, Inkscape, and several recent papers. [6] Scalable Vector Graphics are well suited to simple geometric images, while photographs do not fare well with vectorization due to their complexity.

3. waifu2x - Wikipedia

   en.wikipedia.org/wiki/Waifu2x

   waifu2x is an image scaling and noise reduction program for anime-style art and other types of photos. [1] waifu2x was inspired by Super-Resolution Convolutional Neural Network (SRCNN). [2] [3] It uses Nvidia CUDA for computing, [4] although alternative implementations that allow for OpenCL [5] and Vulkan [6] have been created.

4. Template:Upscaled images - Wikipedia

   en.wikipedia.org/wiki/Template:Upscaled_images

   This tag is intended to identify articles with historical images that have been upscaled by an AI process. Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status Affected area 1 Text to replace the word "article", usually "section" Example section Auto value section Line optional Month and year date The month and year ...

5. Google takes AI image generator offline over racially diverse ...

   www.aol.com/news/google-takes-ai-image-generator...

   Google has taken an image generator offline after it caused controversy by generating racially diverse historical pictures. In recent days, Google’s Gemini AI system has been criticised for ...

6. Image scaling - Wikipedia

   en.wikipedia.org/wiki/Image_scaling

   An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.

7. Deep learning super sampling - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_super_sampling

   The first iteration of DLSS is a predominantly spatial image upscaler with two stages, both relying on convolutional auto-encoder neural networks. [21] The first step is an image enhancement network which uses the current frame and motion vectors to perform edge enhancement, and spatial anti-aliasing. The second stage is an image upscaling step ...