SODA: Bottleneck Diffusion Models for Representation Learning

Figure 1. Latent Interpolations. SODA learns to encode images into compact latent representations. By traversing its latent space, we can interpolate between images, morphing from one image category to another and smoothly transitioning between semantic attributes.