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Andreas Geiger: Learning 3D Reconstruction in Function Space
[CSC 2520] Occupancy Networks: Learning 3D Reconstruction in Function Space
3D Deep Learning in Function Space at Fraunhofer IAO (100 KI Talente)
[CSC 2520] Occupancy Networks: Learning 3D Reconstruction in Function Space - highlight version
Local Deep Implicit Functions for 3D Shape
Learning to Infer Implicit Surfaces without 3D Supervision (NeurIPS 2019)
Building 3D deep learning models with PyTorch3D
Point-Voxel CNN for Efficient 3D Deep Learning, [NeurIPS 2019, Spotlight]
3D Deep Learning with PyTorch3D
Texture Fields: Learning Texture Representations in Function Space
Texture Fields: Learning Texture Representations in Function Space
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Last Updated: August 18, 2026
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![[CSC 2520] Occupancy Networks: Learning 3D Reconstruction in Function Space](https://i.ytimg.com/vi/UL8U2jo52MA/mqdefault.jpg)
![[CSC 2520] Occupancy Networks: Learning 3D Reconstruction in Function Space - highlight version](https://i.ytimg.com/vi/qOt6tR0nKiE/mqdefault.jpg)
![Point-Voxel CNN for Efficient 3D Deep Learning, [NeurIPS 2019, Spotlight]](https://i.ytimg.com/vi/h6zbQe5U1v4/mqdefault.jpg)
