Human action generation on NTU RGB+D 2D

Metric: MMDa (CS) (higher is better)

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#	Model↕	MMDa (CS)▼	Extra Data	Paper	Date↕	Code
1	SkeletonGAN	0.698	No	Deep Video Generation, Prediction and Completion...	2017-11-23	-
2	c-SkeletonGAN	0.338	No	Learning Diverse Stochastic Human-Action Generat...	2019-12-21	Code
3	c-GAN	0.334	No	Conditional Generative Adversarial Nets	2014-11-06	Code
4	SA-GCN	0.285	No	Structure-Aware Human-Action Generation	2020-07-04	Code
5	Kinetic-GAN	0.256	No	Generative Adversarial Graph Convolutional Netwo...	2021-10-21	Code

#1SkeletonGANSOTA
0.698
MMDa (CS)· 2017-11-23
Deep Video Generation, Prediction and Completion of Human Action Sequences
#2c-SkeletonGAN
0.338
MMDa (CS)· 2019-12-21
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions Code
#3c-GANSOTA
0.334
MMDa (CS)· 2014-11-06
Conditional Generative Adversarial Nets Code
#4SA-GCN
0.285
MMDa (CS)· 2020-07-04
Structure-Aware Human-Action Generation Code
#5Kinetic-GAN
0.256
MMDa (CS)· 2021-10-21
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis Code