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Visual 3D Modeling from Images and Videos - a tech-report describes the theory, practice and tricks on 3D reconstruction from images and videos. Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks - Generate and reconstruct 3D shapes via modeling multi-view depth maps or silhouettes.
Incendia is a 3D fractal program that uses Iterated Function Systems (IFS) for fractal generation. [30] Visions of Chaos, Boxplorer and Fragmentarium also render 3D images. The open source GnoFract 4D is available. [31] ChaosPro is freeware fractal creation program. [32] Fraqtive is an open source cross platform fractal generator. [33]
Is also known as single image random dot stereogram (SIRDS). This term also refers to autostereograms where the hidden 3D image is created using a random pattern of dots within one image, [29] shaped by a depth map within a dedicated stereogram rendering program. [32] Wallpaper autostereogram/object array stereogram/texture offset stereogram
Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [128] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [129] and reweighting training data. [130]
2D to 3D video conversion (also called 2D to stereo 3D conversion and stereo conversion) is the process of transforming 2D ("flat") film to 3D form, which in almost all cases is stereo, so it is the process of creating imagery for each eye from one 2D image.
This is a guide to producing and using 3D models of real objects and environments for Wikimedia projects. 3D models are now supported on Wikimedia Commons, derivatives from 3D models including those using photogrammetry are also useful captured as images or videos: to show objects from directions it is not possible to take a photograph.
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