3 papers
cs.CV2025
Zero-shot Synthetic Video Realism Enhancement via Structure-aware Denoising
Yifan Wang, Liya Ji, Zhanghan Ke +3
We propose an approach to enhancing synthetic video realism, which can re-render synthetic videos from a simulator in photorealistic fashion. Our realism enhancement approach is a…
cs.MM2025
VAInpaint: Zero-Shot Video-Audio inpainting framework with LLMs-driven Module
Kam Man Wu, Zeyue Tian, Liya Ji +1
Video and audio inpainting for mixed audio-visual content has become a crucial task in multimedia editing recently. However, precisely removing an object and its corresponding audi…
cs.CV2024
ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
Zhefan Rao, Liya Ji, Yazhou Xing +6
Text-to-video (T2V) generation has gained significant attention recently. However, the costs of training a T2V model from scratch remain persistently high, and there is considerabl…