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Awesome GitHub RepositoriesImage-Based 3D Reconstructions
Techniques for reconstructing three-dimensional geometry from two-dimensional image supervision.
Distinct from Image Region Reconstruction: Distinct from general image region reconstruction: specifically focuses on recovering 3D geometry and shape parameters from 2D images.
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Awesome Image-Based 3D Reconstructions GitHub Repositories
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- daniilidis-group/neural_renderer
daniilidis-group/neural_renderer
1,165عرض على GitHubNeural renderer is a differentiable rendering library for PyTorch that projects three-dimensional meshes into two-dimensional images while maintaining continuous mathematical gradients for backpropagation. The framework enables gradient-based inverse rendering, allowing optimization of input parameters such as camera pose, vertex positions, and texture maps by propagating pixel-level reconstruction errors backward to the source geometry. The architecture incorporates approximate rasterisation gradients that substitute discontinuous edge derivatives with heuristic approximations to facilitate
Optimizes three-dimensional geometry and appearance parameters directly from two-dimensional supervision signals.
Python
