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AI, Color Science, Science, Technik -

Apple with Neural 3D Engine With FaceLit, Apple proposes a neural 3D engine for face relighting. The engine should Generate 3D faces that can be rendered in various custom lighting conditions and views. The engine only needs 2D images as input. The engine relies on standard pose and lighting estimators. With these estimates, the Phong reflection model is integrated into the neural volume rendering system. The model learns how to generate the shape and material properties of a face in this way. This is also the basis for generating photorealistic facial images with multiview 3D and lighting consistency. Apple confidently...

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AI, Color Grading, Color Science, HDR, Science -

Tone mapping operators with AI High Dynamic Range (HDR) is fast becoming the video format of choice for content providers, albeit not quite as quickly as thought. Standard Dynamic Range (SDR) displays still dominate the market. Therefore, efficient ways must be found to convert HDR content to SDR format, a process known as tone mapping. There are already numerous tone mapping operators (TMO for short), but these do not always lead to a usable result. Recently, many "new" TMOs based on deep learning approaches have been proposed. However, the main challenge in training such deep learning networks is the lack...

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AI -

Adobe comes with new AI application Adobe has now presented its answer to AI generators such as Midjourney, Dall-E and Stable Diffusion. The new family of generative AI tools dubbed Adobe Firefly has a lot to offer and has the potential to be as influential as the original Photoshop we all know, which has been a standard since 1990. Adobe has been integrating AI into its applications, such as Photoshop and Illustrator, for years. With Firefly, however, Adobe is now raising the level significantly and to a whole new level. The first beta version of Firefly brings text-to-image generation to...

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AI, Color Grading, DaVinci Resolve -

AI in the film industry Artificial intelligence has now arrived in many areas of audio and image processing, even editing is already partially supported with AI. What differentiates the AI ​​boom of the 90s from today is simply the performance of the computers that are available to us today. As early as the 90s, people believed that AI would change and make everything easier, but the limitations imposed by the computing speed were simply too great. Today we find AI in numerous tools and applications, and more and more in the field of sound and image processing, and thus also...

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