July 8, 2026 · Wednesday2026 年 7 月 8 日 · No. 4 NEWSACCESSABOUT

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PWM-ArtGen Generates Articulated 3D Objects from Single Images Using Part World ModelPWM-ArtGen 发布,从单张图像精准生成 3D 铰接物体

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  1. Wentao Zheng and Ancong Wu introduced PWM-ArtGen, a Part World Model that generates articulated 3D objects from single images by learning the joint distribution of visual dynamics and kinematic parameters (submitted July 2, 2026).
  2. The model couples action diffusion and image diffusion with independent timesteps to enable visual branch co-training, and was validated on a curated dataset of 19.7k photorealistic part-level image pairs without kinematic annotations.
  3. PWM-ArtGen addresses existing limitations by unifying visual dynamics and kinematic estimation rather than sequential inference, and demonstrates improvements over baseline methods.
  1. Wentao Zheng 和 Ancong Wu 推出了 PWM-ArtGen(部件世界模型),通过学习视觉动态和运动学参数的联合分布来从单张图像生成 3D 铰接物体(2026 年 7 月 2 日提交)。
  2. 该模型结合动作扩散和图像扩散,采用独立的扩散时间步长支持视觉分支协同训练,基于包含 19.7k 个部件级图像对的光真实感数据集进行验证,这些数据无需运动学标注。
  3. PWM-ArtGen 通过统一视觉动态和运动学估计的方式克服了现有方法的局限性,相比基线方法取得改进。