3 citations · 3 across the 4 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CV2025
Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks
Ruibin Li, Tao Yang, Yangming Shi +4
Diffusion models have shown impressive performance in many visual generation and manipulation tasks. Many existing methods focus on training a model for a specific task, especially…
cs.CV2025
Text-to-Edit: Controllable End-to-End Video Ad Creation via Multimodal LLMs
Dabing Cheng, Haosen Zhan, Xingchen Zhao +6
The exponential growth of short-video content has ignited a surge in the necessity for efficient, automated solutions to video editing, with challenges arising from the need to und…