2026
Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
ICML 2026poster
Latent diffusion models excel at generating high-quality images but lose the benefits of end-to-end modeling. They discard information during image encoding, require a separately trained decoder, and model an auxiliary distribution to the raw data. In this paper, we propose Latent Forcing, a simple …