Semantic Latent Alignment for Flow Matching with Invertible Bi-Lipschitz Adapters
Pretrained latent spaces trade compression, reconstruction, and the learnability of the coordinates a downstream generator has to work in, which complicates adapting these spaces to different domains or tasks: continued training is expensive, and without a new alignment objective it often fails to improve downstream ge...