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MovieGrid is a multi-grid post-training paradigm that decomposes long videos into spatially arranged chunks to improve multi-shot coherence and efficiency, achieving state-of-the-art intra-shot and inter-shot consistency in video generation.
This paper introduces an agentic framework combining LLMs and VLMs for consistent multi-instruction video editing across multiple shots, and proposes the MMLVE task and benchmark to evaluate performance.
UnityShots is a memory-driven multi-shot audio-video generation system that maintains consistent subject appearance and audio across video cuts using fixed-size long-term and short-term memory slots with boundary-conditioned gates and discrete cut-type priors. It outperforms open-source baselines on cross-shot coherence metrics and matches closed-source systems.
A unified framework for camera motion cloning using grid motion videos and multimodal diffusion transformers, enabling director-level control without cross-paired data.
JD Open Source releases JoyAI-Echo (Echo-LongVideo), a text-to-audio-video diffusion model capable of generating minute-level multi-shot videos with consistent character identity and voice, using DMD distillation for 7.5x speedup.
MSAVBench is the first comprehensive benchmark and adaptive evaluation framework for multi-shot audio-video generation, assessing 19 models across diverse tasks and achieving high alignment with human judgment.