COMPOSITION
DESIGN
COLOR
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If a blind person gained sight, could they recognize objects previously touched?Read more: If a blind person gained sight, could they recognize objects previously touched?Blind people who regain their sight may find themselves in a world they don’t immediately comprehend. “It would be more like a sighted person trying to rely on tactile information,” Moore says. Learning to see is a developmental process, just like learning language, Prof Cathleen Moore continues. “As far as vision goes, a three-and-a-half year old child is already a well-calibrated system.” 
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HDR and ColorRead more: HDR and Colorhttps://www.soundandvision.com/content/nits-and-bits-hdr-and-color In HD we often refer to the range of available colors as a color gamut. Such a color gamut is typically plotted on a two-dimensional diagram, called a CIE chart, as shown in at the top of this blog. Each color is characterized by its x/y coordinates. Good enough for government work, perhaps. But for HDR, with its higher luminance levels and wider color, the gamut becomes three-dimensional. For HDR the color gamut therefore becomes a characteristic we now call the color volume. It isn’t easy to show color volume on a two-dimensional medium like the printed page or a computer screen, but one method is shown below. As the luminance becomes higher, the picture eventually turns to white. As it becomes darker, it fades to black. The traditional color gamut shown on the CIE chart is simply a slice through this color volume at a selected luminance level, such as 50%. Three different color volumes—we still refer to them as color gamuts though their third dimension is important—are currently the most significant. The first is BT.709 (sometimes referred to as Rec.709), the color gamut used for pre-UHD/HDR formats, including standard HD. The largest is known as BT.2020; it encompasses (roughly) the range of colors visible to the human eye (though ET might find it insufficient!). Between these two is the color gamut used in digital cinema, known as DCI-P3. sRGB 
  D65 
  
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mmColorTarget – Nuke Gizmo for color matching a MacBeth chartRead more: mmColorTarget – Nuke Gizmo for color matching a MacBeth charthttps://www.marcomeyer-vfx.de/posts/2014-04-11-mmcolortarget-nuke-gizmo/ https://www.marcomeyer-vfx.de/posts/mmcolortarget-nuke-gizmo/ https://vimeo.com/9.1652466e+07 https://www.nukepedia.com/gizmos/colour/mmcolortarget 
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Anders Langlands – Render Color SpacesRead more: Anders Langlands – Render Color Spaceshttps://www.colour-science.org/anders-langlands/ This page compares images rendered in Arnold using spectral rendering and different sets of colourspace primaries: Rec.709, Rec.2020, ACES and DCI-P3. The SPD data for the GretagMacbeth Color Checker are the measurements of Noburu Ohta, taken from Mansencal, Mauderer and Parsons (2014) colour-science.org. 
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Colormaxxing – What if I told you that rgb(255, 0, 0) is not actually the reddest red you can have in your browser?Read more: Colormaxxing – What if I told you that rgb(255, 0, 0) is not actually the reddest red you can have in your browser?https://karuna.dev/colormaxxing https://webkit.org/blog-files/color-gamut/comparison.html https://oklch.com/#70,0.1,197,100  
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What causes colorRead more: What causes colorwww.webexhibits.org/causesofcolor/5.html Water itself has an intrinsic blue color that is a result of its molecular structure and its behavior.  
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GretagMacbeth Color Checker Numeric Values and Middle GrayRead more: GretagMacbeth Color Checker Numeric Values and Middle GrayThe human eye perceives half scene brightness not as the linear 50% of the present energy (linear nature values) but as 18% of the overall brightness. We are biased to perceive more information in the dark and contrast areas. A Macbeth chart helps with calibrating back into a photographic capture into this “human perspective” of the world. https://en.wikipedia.org/wiki/Middle_gray In photography, painting, and other visual arts, middle gray or middle grey is a tone that is perceptually about halfway between black and white on a lightness scale in photography and printing, it is typically defined as 18% reflectance in visible light  Light meters, cameras, and pictures are often calibrated using an 18% gray card[4][5][6] or a color reference card such as a ColorChecker. On the assumption that 18% is similar to the average reflectance of a scene, a grey card can be used to estimate the required exposure of the film. https://en.wikipedia.org/wiki/ColorChecker (more…)
LIGHTING
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Arto T. – A workflow for creating photorealistic, equirectangular 360° panoramas in ComfyUI using FluxRead more: Arto T. – A workflow for creating photorealistic, equirectangular 360° panoramas in ComfyUI using Fluxhttps://civitai.com/models/735980/flux-equirectangular-360-panorama https://civitai.com/models/745010?modelVersionId=833115 The trigger phrase is “equirectangular 360 degree panorama”. I would avoid saying “spherical projection” since that tends to result in non-equirectangular spherical images. Image resolution should always be a 2:1 aspect ratio. 1024 x 512 or 1408 x 704 work quite well and were used in the training data. 2048 x 1024 also works. I suggest using a weight of 0.5 – 1.5. If you are having issues with the image generating too flat instead of having the necessary spherical distortion, try increasing the weight above 1, though this could negatively impact small details of the image. For Flux guidance, I recommend a value of about 2.5 for realistic scenes. 8-bit output at the moment   
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Terminators and Iron Men: HDRI, Image-based lighting and physical shading at ILM – Siggraph 2010Read more: Terminators and Iron Men: HDRI, Image-based lighting and physical shading at ILM – Siggraph 2010
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