Xiaochuang Han

Can we simplify video generation by decomposing it into interleaved text-video co-generation? Would explicit, repeated thinking in language improve generation in pixels? We introduce TV2TV: a unified model that jointly learns - language modeling (next-token prediction) - video flow matching (next-frame prediction) At inference, TV2TV dynamically alternates between textual thinking and video generation. Model generations below: interleaved text plans and video slices (~1–2s) are co-generated over time, conditioned on a single frame per sport. 📖