Image Manipulation Models

DeepSIM is a generative model for conditional image manipulation based on a single image. The network learns to map between a primitive representation of the image to the image itself. At manipulation time, the generator allows for making complex image changes by modifying the primitive input representation and mapping it through the network. The choice of a primitive representations has an impact on the ease and expressiveness of the manipulations and can be automatic (e.g. edges), manual, or hybrid such as edges on top of segmentations.

Source: Image Shape Manipulation from a Single Augmented Training Sample

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Image Generation 1 33.33%
Image Manipulation 1 33.33%
Image-to-Image Translation 1 33.33%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories