Variational Test-time Optimization for Diffusion Synchronization
Collaborative generation, which coordinates multiple diffusion trajectories to extend the capabilities of pretrained priors, has emerged as a powerful paradigm for extending the applicability of diffusion models. Among existing approaches, diffusion synchronization provides a scenario-agnostic solution by introducing general guidance mechanisms. However, current synchronization approaches rely heavily on heuristics and still require task-specific tailoring, which limits their generalizability and performance. In this work, we mathematically derive a synchronization framework based on optimal control, providing a principled explanation of diffusion synchronization. During sampling, we opti...
| Authors | Hyunsoo Lee, Farrin Marouf Sofian, Kushagra Pandey et al. |
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| Primary category | cs.CV |
| Published | 14 June 2026 |
| Last updated at source | 16 June 2026 |
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