Command Palette
Search for a command to run...
Human Action Generation On Ntu Rgb D 2D
평가 지표
MMDa (CS)
MMDa (CV)
MMDs (CS)
MMDs (CV)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | |||||
|---|---|---|---|---|---|
| SkeletonGAN | 0.698 | 0.999 | 0.788 | 1.311 | Deep Video Generation, Prediction and Completion of Human Action Sequences |
| c-SkeletonGAN | 0.338 | 0.371 | 0.402 | 0.398 | Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions |
| c-GAN | 0.334 | 0.365 | 0.354 | 0.373 | Conditional Generative Adversarial Nets |
| SA-GCN | 0.285 | 0.316 | 0.299 | 0.335 | Structure-Aware Human-Action Generation |
| Kinetic-GAN | 0.256 | 0.295 | 0.273 | 0.310 | Generative Adversarial Graph Convolutional Networks for Human Action Synthesis |
0 of 5 row(s) selected.