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Video-Coder agent uses code to generate dynamic 3D scenes for video creation

Researchers have introduced Video-Coder, a novel agent designed for video generation that writes and executes code to construct dynamic 3D scenes. This approach aims to improve controllable video generation by providing structure and motion signals to downstream video generators. The agent was trained using supervised fine-tuning and reinforcement learning with both execution-based and video-based rewards, and its performance was evaluated on benchmarks like PhyGenBench and VBench 2.0, showing significant improvements. AI

IMPACT This research could advance controllable video generation by enabling agents to create complex 3D scenes through code execution.

RANK_REASON The cluster describes a research paper detailing a new model and methodology for video generation.

Read on Hugging Face Daily Papers →

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Video-Coder agent uses code to generate dynamic 3D scenes for video creation

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The cluster describes a research paper detailing a new model and methodology for video generation.
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Video-Coder: Reinforcing Agentic Coding for Video Generation

    Video-Coder is a code-driven video generation agent that writes and executes code to construct dynamic 3D scenes, trained with supervised fine-tuning and reinforcement learning using execution and video rewards to improve controllable video generation.

  2. arXiv cs.CV TIER_1 English(EN) · Chaoyang Wang, Sicheng Gao, Junan Hu, Kunyang Li, Dongyang Chen, Yiyang Zhou, Huaxiu Yao, Yong Jae Lee, Radu Timofte, Yuzhang Shang ·

    Video-Coder: Reinforcing Agentic Coding for Video Generation

    arXiv:2611.09894v1 Announce Type: new Abstract: Recent years have witnessed remarkable progress in video generation in terms of visual quality and temporal consistency. However, generating videos with precise spatial structure, coherent motion dynamics, and controllable scene com…