Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs

Abstract

Figure 1: Concept Lens aims to support users in exploring and understanding the semantic manipulations offered by GAN latent spaces. The design of Concept Lens consists of (A) a hierarchical encoding of concepts, (B) a hierarchical encoding of codes, and (C) a grid-based view that shows images generated by combinations of codes (rows) and concepts (columns) selected by user.Nodes in the hierarchies color-encode the consistency and magnitude of edits made by concepts. In this example, conditioned on a group of codes at (F), the blue node (D) indicates consistent edits (e.g. the addition of spots), while the purple node (E) suggests inconsistent edits, shown as variability in species of animals.