Get high-quality 3D shape with realistic texture from LiDAR smartphone by neural geometry with TMO
Get high-quality 3D shape with realistic texture from LiDAR smartphone by neural geometry with TMO
TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering
arXiv paper abstract https://arxiv.org/abs/2303.15060
arXiv PDF paper https://arxiv.org/pdf/2303.15060.pdf
… present a new pipeline for acquiring a textured mesh in the wild with a single smartphone which offers access to images, depth maps, and valid poses.
… first introduces an RGBD-aided structure from motion, which can yield filtered depth maps and refines camera poses guided by corresponding depth.
… adopt the neural implicit surface reconstruction method, which allows for high-quality mesh and develops a new training process for applying a regularization provided by classical multi-view stereo methods.
… apply a differentiable rendering to fine-tune incomplete texture maps and generate textures which are perceptually closer to the original scene.
… pipeline can be applied to any common objects in the real world without the need for either in-the-lab environments or accurate mask images.
… demonstrate results of captured objects with complex shapes and validate … against existing … methods.
Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website
LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b
