MIT Institute for Data, Systems, and Society

MIT's HardFlow enforces hard constraints only on a diffusion model's final output

HardFlow treats sampling as a trajectory-optimization problem and lets the intermediate steps break the rules. MIT reports better solutions than projection-based sampling in robotics, process control and vision experiments, with no retraining.