Summary
Video is rapidly becoming the dominant medium for communication, education, and entertainment, yet creating high-quality video content remains costly and technically demanding. Current artificial intelligence models can generate impressive videos from text descriptions, but they operate as black-boxes, offering users little control over the content, motion or camera perspective. This project aims to develop a new paradigm for controllable video generation by unlocking the rich but hidden capabilities embedded within powerful pre-trained video generation models without requiring any additional
