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Structure Aware Human Motion Synthesis, Papers :star: - Coggle Diagram

- - - - 2548 Videos, 6k sentences
      - Activities for animation
      - 6 categories, 22 sub categories
    - - 3911, 6K languages
      - Human Locomotion
    - - 3052 samples
      - Only upper body parts
        Above hip
  - - - Noisy Data
      - 60/120 classes
      - Large Number of samples
    - - 15 Classes
      - Less no of samples
      - Accurate samples unlike NTU
  - - - Proposed by Daniel Holden
      - Has control signals
      - 1855 sequences
  - - - 1191 samples
      - 24 joints
      - 12-categories
        
        34 sub-categories
  - - - 2-person dancing
      - 200 videos
      - Avg length: 4823 frames
    - - Only 11 interperson interaction classes
        in NTU-60
      - 26 inter-person interaction
        classes in NTU-10
- - - - [1] [3] [6] [10] [11] [12]
        [15] [22] [23] GAN
      - [4] [13] VAE
      - VAE-GAN [27]
      - [25] GM-VAE
    - - Seq2seq [3] [4] [5] [8]
        [9] [11] [12] [13] [14] [16]
        [17] [18] [20] [21] [22]
        [23] [24]
        
        Suffers from error accumulation
        
        Teacher-forcing makes training VAE difficult [26]
        
        Sometimes requires teacher-forcing
        
        can be parallelized across batch dimesion only
      - CNN [1] [9] [13] [22]
        
        faster than RNN based methods as it
        can be parallelized across time dimension
      - GCN [3] [5] [6]
        
        Training could be very slow
        
        Spatio-temporal graph usually
        consumes a lot of space
        
        Can be used to model spatial and temporal
        structure of human motion at different scales
      - Attention [3] [5] [23]
    - - Regresson
        
        Regression on 3D joint
        
        [4] Regression on rotation
- - - - Gimble-lock problem
      - Discontinuous
      - External constraints required
        no make continuous
    - - Discontinuous
      - External Conditions required
        to make continuous
    - - Anti podal representation
      - Discontinuous
      - Works on Constrainted env
    - - Continuous Representation
      - Differentiable
      - Generates Orthogonal rotation
        matrix by default