Video Analysis and Generation via a Semantic Progress Function

ArXi:2604.22554v1 Announce Type: new Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely changes are followed by sudden, abrupt semantic jumps. To analyze and correct this behavior, we