Andrea Tagliasacchi: Structured Representations for 3D Computer Vision

Andrea Tagliasacchi: Structured Representations for 3D Computer Vision

Andreas Geiger via YouTube Direct link

Permutation equivariant leaming

3 of 19

3 of 19

Permutation equivariant leaming

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Andrea Tagliasacchi: Structured Representations for 3D Computer Vision

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  1. 1 Intro
  2. 2 3D scene understanding
  3. 3 Permutation equivariant leaming
  4. 4 Attentive Context Network (ACNe)
  5. 5 Attentive Residual Block (ARB)
  6. 6 Attentive Context Normalization (ACN)
  7. 7 Summary - acne.github.io
  8. 8 Traditional digital humans
  9. 9 Neural digital humans - NASA
  10. 10 Rigid model (R)
  11. 11 Reconstruction on AMASS
  12. 12 CP» free ICP registration
  13. 13 Summary - NASA
  14. 14 What is the best» 3D representation?
  15. 15 Convexes: why are they relevant?
  16. 16 Universal approximator of convex domains
  17. 17 Implicit functions @ training time
  18. 18 Polygonal meshes @ inference time
  19. 19 Related work @ CVPR 2020

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