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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.
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
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.
Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [116] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [117] and reweighting training data. [118]
VistaPro is 3D scenery generator for the Amiga, Macintosh, MS-DOS, and Microsoft Windows.It was written by John Hinkley as the follow-up to the initial version, Vista. [1] [2] The about box describes it as "a 3-D landscape generator and projector capable of accurately displaying real-world and fractal landscapes."
2D digital image acquisition is the information source of 3D reconstruction. Commonly used 3D reconstruction is based on two or more images, although it may employ only one image in some cases. There are various types of methods for image acquisition that depends on the occasions and purposes of the specific application.
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