We are seeking a highly skilled and knowledgeable individual to join our team as a Sparse Image to Mesh Generation Specialist. The primary focus of this project is to generate high-quality meshes from sparse images, ranging from one to five images. The successful candidate should have a deep understanding of image to mesh generation techniques, including but not limited to using guided diffusion models.
Responsibilities:
* Develop and implement advanced algorithms to generate accurate and detailed meshes from sparse image data.
* Utilize ML frameworks, particularly PyTorch, to apply generative ML methods, including stable diffusion, for 3D mesh generation.
Requirements:
* PhD or master芒聙聶s degree in 3D reconstruction using machine learning or a similar field, with a specialization in sparse image to mesh generation. (Not necessary if they have a good portfolio)
* Proficiency in methods such as NeRF, Neus, etc., relevant to 3D reconstruction.
* Up-to-date knowledge and expertise in sparse image to mesh generation techniques, with a specific focus on diffusion guided 3D reconstruction methods such as zero123, make-it-3d, etc.
* Strong understanding of ML frameworks, especially PyTorch, and experience with generative ML methods applied to 3D mesh generation.
* A demonstrated portfolio showcasing successful projects in sparse image to 3D mesh generation.
Reference: https://lumalabs.ai/luma-api
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