2025
V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models
ICCV 2025poster
With growing interest in deploying text-to-video (T2V) models in resource-constrained environments, reducing their high computational cost has become crucial, leading to extensive research on pruning and knowledge distillation methods while maintaining performance. However, existing distillation met…