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SIGGRAPH 2022: Neural Geometry Processing

SIGGRAPH 2022: Neural Geometry Processing

SIGGRAPH 2022勉強会で使ったスライドです。
https://siggraph.xyz/s2022/

Tatsuya Yatagawa

August 27, 2022
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  1. Neural Geometry Processing Tatsuya Yatagawa Aug. 27th, 2022 SIGGRAPH 2022

    Paper Reading Seminar
  2. 6 TOG , 2 Conference Track l Dual Octree Graph

    Networks for Learning Adaptive Volumetric ... l DiffusionNet: Discretization Agnostic Learning on Surfaces l Neural Dual Contouring l Random Walks for Adversarial Meshes l PCEDNet: A Lightweight Neural Network for Fast and Interactive ... l Self-Sampling for Neural Point Cloud Consolidation l ImLoveNet: Misalignment Image-supported Registration Network ... l DSG-Net: Learning Disentangled Structure and Geometry ... Neural Geometry Processing (8 papers)
  3. Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations

    CNN ,
  4. 1. 2. , 3. MLP Dual Octree Graph

  5. l , . l .

  6. DiffusionNet: Discretization Agnostic Learning on Surfaces

  7. : l 𝑡 , DiffusionNet , (= ) l ,

    : , : +
  8. , l target l , , . : , attention

    . , .
  9. Neural Dual Contouring Dual Contouring

  10. Marching Cubes ( : Dual Contouring, : Marching Cubes) Dual

    Contouring Dual Contouring , Marching Cubes
  11. l MC (MC ) l MC , , : Neural

    Marching Cubes l , (= ) l
  12. l NMC , DC l NMC , DC l NDC

    , UNDC l DC l UNDC , Neural Dual Contouring
  13. l ( ) , ,

  14. Random Walks for Adversarial Meshes (Conf. Track) ,

  15. , (adversarial sample) : [Goodfellow et al., ICLR 2015] l

  16. l RandomWalker [Lahav and Tal 2020] l : Imitating Network

  17. l , random walk l Imitating Net , :

  18. l , (RandomWalker, MeshNet) l Imitating Network (Walk path Random

    Walker )
  19. PCEDNet: A Lightweight Neural Network for Fast and Interactive Edge

    Detection in 3D Point Clouds
  20. (Scale-Space Matrix) l Growing Least Squares [Mellado+ 2012] l ,

    - , , , . l 6 , 16 (=SSM) . PCEDNet (Point Cloud Edge Detection Network) l SSM (= 6 16 ) .
  21. l , , , l MLP, CNN l CNN ,

    , l SSM 4-128 , l , 16 4 16 128
  22. Self-Sampling for Neural Point Cloud Consolidation , Input Consolidated Input

    Consolidated
  23. : l positive ( ) negative ( ) . l

    , (source) (target) , positive l
  24. , . Input Consolidated Input Consolidated : , positive, negative

    , .
  25. ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs

    (Conf. Track) 2
  26. : , 2 l (DGR [Choy+ 2020], PREDATOR [Huang+ 2021]

    etc.). l )
  27. SOTA (PREDATOR, OMNet) : , , .

  28. DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation

    (VAE)
  29. : , . : .

  30. l 2 + ( ) ( ) l as-consistent-as- possible

    (9 BBox ) [Guo+ 2019] l one-hot MLP l ACAP BBox , .
  31. (SDM-Net) , ,

  32. 6 TOG , 2 Conference Track l Dual Octree Graph

    Networks for Learning Adaptive Volumetric ... l DiffusionNet: Discretization Agnostic Learning on Surfaces l Neural Dual Contouring l Random Walks for Adversarial Meshes l PCEDNet: A Lightweight Neural Network for Fast and Interactive ... l Self-Sampling for Neural Point Cloud Consolidation l ImLoveNet: Misalignment Image-supported Registration Network ... l DSG-Net: Learning Disentangled Structure and Geometry ... : Neural Geometry Processing : , . , (= ) .