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  2. Video denoising - Wikipedia

    en.wikipedia.org/wiki/Video_denoising

    Temporal video denoising methods, where noise between frames is reduced. Motion compensation may be used to avoid ghosting artifacts when blending together pixels from several frames. Spatial-temporal video denoising methods use a combination of spatial and temporal denoising. This is often referred to as 3D denoising. [1] It is done in two areas:

  3. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    According to OpenAI, Sora is a diffusion transformer [10] – a denoising latent diffusion model with one Transformer as the denoiser. A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor.

  4. Noise reduction - Wikipedia

    en.wikipedia.org/wiki/Noise_reduction

    Noise reduction is the process of removing noise from a signal.Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree.

  5. List of OpenCL applications - Wikipedia

    en.wikipedia.org/wiki/List_of_OpenCL_applications

    3 Audio, video, and multimedia. 4 Web (including WebCL) 5 Office. 6 Games. 7 Scientific computing. ... KNLMeansCL: Denoise plugin for AviSynth [44] Libav [45] OpenCV [46]

  6. Total variation denoising - Wikipedia

    en.wikipedia.org/wiki/Total_variation_denoising

    The regularization parameter plays a critical role in the denoising process. When =, there is no smoothing and the result is the same as minimizing the sum of squares.As , however, the total variation term plays an increasingly strong role, which forces the result to have smaller total variation, at the expense of being less like the input (noisy) signal.

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