Improving structural plausibility in diffusion-based 3D molecule generation via property-conditioned training with distorted molecules
Vost L., Chenthamarakshan V., Das P., Deane CM.
Conditional diffusion models improve molecular generation by learning from both high- and low-quality structures, using quality-labeled distorted molecules to enhance plausibility and enable selective sampling.