AI RESEARCH

Projected Coupled Diffusion for Test-Time Constrained Joint Generation

arXiv CS.LG

ArXi:2508.10531v3 Announce Type: replace Modifications to test-time sampling have emerged as an important extension to diffusion algorithms, with the goal of biasing the generative process to achieve a given objective without having to retrain the entire diffusion model. However, generating jointly correlated samples from multiple pre-trained diffusion models while simultaneously enforcing task-specific constraints without costly re