Latent Space Interpolation

Latent space interpolation is used to understand how structured a generative or representation-learning model’s latent geometry has become. If samples generated between two latent points remain meaningful, this provides insight into the quality of the learned manifold. The technique is not just a visual experiment, but also a way to evaluate the continuity of latent structure.