We are seeking a highly motivated and technically skilled intern to join our team focusing on cutting-edge research in Generative AI and 3D Reconstruction and Rendering. In this role you will work both independently and collaboratively with a dynamic team of researchers to design develop and validate an innovative 3D pipeline. The ideal candidate will be passionate about applying AI technologies to solve real-world problems in the context of 3D/4D content creation and autonomous systems.
Responsibilities:
- Innovate within generative AI to explore new approaches in 3D/4D content generation including but not limited to prompt-guided 3D scene creation and adaptive content manipulation for realistic 3D environments.
- Develop and enhance 3D/4D rendering techniques integrating machine learning to improve the efficiency and quality of real-time rendering processes particularly for complex visual scenarios.
- Build and optimize a multiview-based 3D reconstruction pipeline that supports real-time rendering with a specific focus on applications in autonomous driving and dynamic environments.
Requirements:
- PhD or Master in Computer Science Electrical Engineering or a related field with a focus on deep learning and computer graphics.
- Proficient in transformer diffusion model SAM/CLIP 3DGS and related architectures.
- Publications at top tier conferences such as ICCV ECCV CVPR ICLR NeurIPS SIGGRAPH or similar high-impact venues.
We are seeking a highly motivated and technically skilled intern to join our team focusing on cutting-edge research in Generative AI and 3D Reconstruction and Rendering. In this role you will work both independently and collaboratively with a dynamic team of researchers to design develop and validat...
We are seeking a highly motivated and technically skilled intern to join our team focusing on cutting-edge research in Generative AI and 3D Reconstruction and Rendering. In this role you will work both independently and collaboratively with a dynamic team of researchers to design develop and validate an innovative 3D pipeline. The ideal candidate will be passionate about applying AI technologies to solve real-world problems in the context of 3D/4D content creation and autonomous systems.
Responsibilities:
- Innovate within generative AI to explore new approaches in 3D/4D content generation including but not limited to prompt-guided 3D scene creation and adaptive content manipulation for realistic 3D environments.
- Develop and enhance 3D/4D rendering techniques integrating machine learning to improve the efficiency and quality of real-time rendering processes particularly for complex visual scenarios.
- Build and optimize a multiview-based 3D reconstruction pipeline that supports real-time rendering with a specific focus on applications in autonomous driving and dynamic environments.
Requirements:
- PhD or Master in Computer Science Electrical Engineering or a related field with a focus on deep learning and computer graphics.
- Proficient in transformer diffusion model SAM/CLIP 3DGS and related architectures.
- Publications at top tier conferences such as ICCV ECCV CVPR ICLR NeurIPS SIGGRAPH or similar high-impact venues.
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