3 papers
cs.CV2026
Watch, Remember, Reason: Human-View Video Understanding with MLLMs
Jiahao Meng, Yue Tan, Qi Xu +12
Video understanding is being rapidly transformed by multimodal large language models (MLLMs), as research moves from short clips to long, multimodal, and knowledge-intensive video…
cs.CV2025
VideoAuteur: Towards Long Narrative Video Generation
Junfei Xiao, Feng Cheng, Lu Qi +5
Recent video generation models have shown promising results in producing high-quality video clips lasting several seconds. However, these models face challenges in generating long…
cs.CV2025
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Team Seawead, Ceyuan Yang, Zhijie Lin +52
This technical report presents a cost-efficient strategy for training a video generation foundation model. We present a mid-sized research model with approximately 7 billion parame…