2026
StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets
CVPR 2026
Multi-task learning for dense prediction is limited by the need for extensive annotation for every task, although recent works have explored training with partial task labels. Leveraging the generalization power of diffusion models, we extend the partial learning setup to a zero-shot setting, traini