video editing

ThinkV2V: Unleashing the Reasoning Capability of MLLMs for Instruction-Guided Video Editingarxiv.org

ThinkV2V adds an explicit reasoning step using a multimodal LLM before conditioning a video diffusion model, trained with a progressive curriculum and refined at inference time. The 5B DiT model trained on a new 150K dataset outperforms larger baselines on complex instruction-guided edits.