Constraining 3D Fields for Reconstruction and View Synthesis

Constraining 3D Fields for Reconstruction and View Synthesis

Andreas Geiger via YouTube Direct link

TensoRF: Tensorial Radiance Fields

13 of 19

13 of 19

TensoRF: Tensorial Radiance Fields

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Classroom Contents

Constraining 3D Fields for Reconstruction and View Synthesis

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  1. 1 Neural Shape and Appearance Representations
  2. 2 NeRF Results with 3 Input Views
  3. 3 Shape-Appearance Ambiguity
  4. 4 RegNeRF: Overview
  5. 5 RegNeRF: Scene Space Annealing
  6. 6 RegNeRF: Ablation Study
  7. 7 3D Reconstruction is an ill-posed Problem
  8. 8 Depth Map Prediction from a Single Image
  9. 9 OmniData: Vision Data from 3D Scans
  10. 10 MonoSDF: Monocular Geometric Cues for Reconstruction
  11. 11 MonoSDF: Ablation Study on Replica Dataset
  12. 12 MonoSDF: Ablation Study on ScanNet
  13. 13 TensoRF: Tensorial Radiance Fields
  14. 14 TensoRF: 4D Representation - CANDECOMP/PARAFAC (CP) vs.
  15. 15 TensoRF: Fast Training
  16. 16 TensoRF: Tensor Decomposition
  17. 17 TensoRF: CP Decomposition
  18. 18 TensoRF: CP vs. VM Decomposition
  19. 19 TensoRF: VM Decomposition

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