NaRCan, a video editing framework, integrates a hybrid deformation field network with diffusion priors to address the challenge of maintaining the canonical image as a natural image.
This paper introduces a novel zero-shot video restoration method using pre-trained image restoration diffusion models, achieving excellent performance across diverse datasets and extreme video degradations.
My GPU-Optimized SplineTransformer significantly accelerates the conversion of large data arrays into B-spline bases by leveraging GPU power. This innovation outperforms traditional CPU-based solutions, offering enhanced speed and efficiency for your data processing needs.