View synthesis

In computer graphics, view synthesis, or novel view synthesis, is a task which consists of generating images of a specific subject or scene from a specific point of view, when the only available information is pictures taken from different points of view.^[1]

This task was only recently (late 2010s – early 2020s) tackled with significant success, mostly as a result of advances in machine learning. Notable successful methods are Neural Radiance Fields and 3D Gaussian Splatting.

Applications of view synthesis are numerous, one of them being Free viewpoint television.

• 3D reconstruction from multiple images
• Image-based modeling and rendering
• Image synthesis

• Shuai Li; Ce Zhu; Ming-Ting Sun (2018). "Hole Filling with Multiple Reference Views in DIBR View Synthesis". IEEE Transactions on Multimedia. 20 (8): 1948–1959. arXiv:1802.03079. Bibcode:2018arXiv180203079L. doi:10.1109/TMM.2018.2791810. S2CID 33449031.
• Ce Zhu; Shuai Li (2016). "Depth Image Based View Synthesis: New Insights and Perspectives on Hole Generation and Filling". IEEE Transactions on Broadcasting. 62 (1): 82–93. doi:10.1109/TBC.2015.2475697. S2CID 19100077.
• Mansi Sharma; Santanu Chaudhury; Brejesh Lall (2014). Kinect-Variety Fusion: A Novel Hybrid Approach for Artifacts-Free 3DTV Content Generation. In 22nd International Conference on Pattern Recognition (ICPR), Stockholm, 2014. doi:10.1109/ICPR.2014.395.
• Webcam lets users eyeball others BBC
• https://web.archive.org/web/20060905013927/http://www.cs.wisc.edu/computer-vision/projects/interp/interp.html
• http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/FUSIELLO4/tutorial.html#x1-10001
• https://web.archive.org/web/20061126225514/http://www-sop.inria.fr/robotvis/personnel/fabad/PhD/index.html
• http://www.cs.huji.ac.il/labs/vision/demos/synthesis/synthesis.html
• http://www.hpl.hp.com/research/mmsl/projects/graphics/chromaglyph/index.html

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