1 Repo
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.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Image-Based 3D Reconstructions. Refine with filters or upvote what's useful.
Awesome Image-Based 3D Reconstructions GitHub Repositories
Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
- daniilidis-group/neural_renderer
daniilidis-group/neural_renderer
1,165Auf GitHub ansehenNeural 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
