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Open nowPosted 73 days ago

4D 场景重建与具身世界模型算法

zcnma1sv5kma/10121017 open roles

Where
Suzhou, Jiangsu, Chinese Mainland
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Your applicationOpen now4D 场景重建与具身世界模型算法zcnma1sv5kma/101210 · Suzhou, Jiangsu, Chinese Mainland

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Share of postings closed within
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  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 73 days ago

The posting

1. 研发面向第一视角 RGB / RGB-D 视频的动态场景重建算法，恢复相机运动、场景几何和动态对象状态 2. 研究前馈式 4D 重建与时空 Gaussian 表征，重点解决动静分离、快速运动、非刚性形变和遮挡等复杂场景下的重建问题。 3. 面向人—物及机器人—物体交互场景，构建对象级 4D 表征，恢复环境、人体或机器人、手部及被操作物体在统一坐标系下的几何、位姿和运动关系。 4. 推动 4D 重建结果应用于对象跟踪、操作轨迹恢复、机器人训练数据生成和动态数字孪生。 5. 建立真实采集数据上的训练、评测和消融体系，评估重建精度、时序一致性与推理效率，并协同验证其在对象跟踪、抓取放置和操作轨迹恢复等机器人任务中的实际价值

计算机视觉、计算机图形学、机器人、人工智能或相关专业本科高年级、硕士或博士在读。 熟练使用 Python、PyTorch 和 Linux，能够独立完成模型训练、代码调试、实验设计与结果分析。 具备扎实的三维视觉基础，理解相机模型、坐标变换、多视图几何、深度估计及三维运动估计等核心概念。 在以下至少一个方向有较深入的研究或项目经验： - 3DGS / 4DGS、NeRF、神经渲染或动态场景重建； - 深度估计、相机位姿恢复、三维点跟踪、scene flow 或前馈式三维重建； - 能够快速理解论文和代码，提出合理的实验假设，并根据定量结果和失败案例判断技术路线，而非仅完成方法复现。 在 CVPR、ICCV、ECCV、3DV、SIGGRAPH / SIGGRAPH Asia、ICRA、IROS、RSS、CoRL 等计算机视觉、图形学或机器人领域高水平会议有论文发表经历者优先。 具备良好的沟通和文档习惯，能够清晰说明问题定义、实验设置、技术选择和结论边界。

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