Implicit Neural Representations (INRs) approximate discrete data through continuous functions and are commonly used for encoding 2D images. Traditional image-based INRs employ neural networks to map ...
‘[We] introduce a model that encodes 2D images by simulating human interpretation. Specifically, our model perceives a 2D image as a human would view a photograph or a sheet of paper, treating it as a ...
One of these projects was Project Turntable, developed by Adobe research scientist Zhiqin Chen. Rotating a 2D illustration usually requires redrawing the entire image, which is time-consuming even for ...