CameraCtrl is dedicated to providing accurate camera pose control for text-to-video models, achieving parameterized camera trajectories by training the camera encoder, thus enabling camera control during video generation. The product has demonstrated that diverse camera distribution and similar appearances in videos can enhance controllability and generalization ability through comprehensive research on various datasets. Experiments have proven that CameraCtrl is highly effective in achieving accurate and domain-adaptive camera control, which represents a significant advancement in dynamically and customizing video storytelling from text and camera pose inputs.