Video representation is a long-standing problem that is crucial for various downstream tasks,
such as tracking, depth prediction, segmentation, view synthesis, and editing. However …

Implicit Neural Representations (INRs) employ neural networks to approximate discrete data
as continuous functions. In the context of video data, such models can be utilized to …

Research on diffusion model-based video generation has advanced rapidly. However,
limitations in object fidelity and generation length hinder its practical applications …

Motion-preserved video editing is crucial for creators, particularly in scenarios that demand
flexibility in both the structure and semantics of swapped objects. Despite its potential, this …