3D-Reconstruction-with-Deep-Learning-Methods and 3D-Object-Reconstrution
These two tools are complements, as they are both curated lists of resources for 3D reconstruction, with the second being a more specialized list focusing on single-view object reconstruction, which could be used alongside the broader collection of projects provided by the first.
About 3D-Reconstruction-with-Deep-Learning-Methods
natowi/3D-Reconstruction-with-Deep-Learning-Methods
List of projects for 3d reconstruction
Curated catalog of deep learning approaches for 3D reconstruction spanning monocular depth estimation, multi-view stereo, point cloud processing, and semantic scene understanding. Projects leverage frameworks like PyTorch, TensorFlow, and cuDNN, with techniques including CNNs, GANs, self-supervised learning, and point cloud networks (PointNet). Covers end-to-end pipelines from synthetic data generation (BlenderProc) through registration, odometry, and mesh reconstruction for robotics and computer vision applications.
About 3D-Object-Reconstrution
wkqscut/3D-Object-Reconstrution
A curated list of awesome Single-view 3D Object Reconstruction papers & resources
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