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