Human Action Generation On Human3 6M
Métriques
MMDa
MMDs
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | MMDa | MMDs | Paper Title | Repository |
|---|---|---|---|---|
| c-GAN | 0.161 | 0.187 | Conditional Generative Adversarial Nets | |
| Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions | 0.195 | 0.218 | Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions | |
| Kinetic-GAN | 0.071 | 0.082 | Generative Adversarial Graph Convolutional Networks for Human Action Synthesis | |
| Deep Video Generation, Prediction and Completion of Human Action Sequences | 0.419 | 0.436 | Deep Video Generation, Prediction and Completion of Human Action Sequences | - |
| SA-GCN | 0.146 | 0.134 | Structure-Aware Human-Action Generation |
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