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Models/c-GAN

c-GAN

Reported on 20 benchmarks across 2 tasks · 1 paper · 20 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots10 results

Activity RecognitiononNTU RGB+D
FID (CS)· 2014-11-06
27.48
best: 3.618 (Kinetic-GAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononNTU RGB+D
FID (CV)· 2014-11-06
31.875
best: 4.235 (Kinetic-GAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononNTU RGB+D 120
FID (CS)· 2014-11-06
54.403
best: 5.967 (Kinetic-GAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononNTU RGB+D 120
FID (CV)· 2014-11-06
58.531
best: 6.751 (Kinetic-GAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononNTU RGB+D 2D
MMDa (CS)· 2014-11-06
0.334
best: 0.698 (SkeletonGAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononNTU RGB+D 2D
MMDa (CV)· 2014-11-06
0.365
best: 0.999 (SkeletonGAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononNTU RGB+D 2D
MMDs (CS)· 2014-11-06
0.354
best: 0.788 (SkeletonGAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononNTU RGB+D 2D
MMDs (CV)· 2014-11-06
0.373
best: 1.311 (SkeletonGAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononHuman3.6M
MMDa· 2014-11-06
0.161
best: 0.419 (Deep Video Generation, Prediction and Completion of Human Action Sequences)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Activity RecognitiononHuman3.6M
MMDs· 2014-11-06
0.187
best: 0.436 (Deep Video Generation, Prediction and Completion of Human Action Sequences)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784

Computer Vision10 results

Human action generationonNTU RGB+D
FID (CS)· 2014-11-06
27.48
best: 3.618 (Kinetic-GAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonNTU RGB+D
FID (CV)· 2014-11-06
31.875
best: 4.235 (Kinetic-GAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonNTU RGB+D 120
FID (CS)· 2014-11-06
54.403
best: 5.967 (Kinetic-GAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonNTU RGB+D 120
FID (CV)· 2014-11-06
58.531
best: 6.751 (Kinetic-GAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonNTU RGB+D 2D
MMDa (CS)· 2014-11-06
0.334
best: 0.698 (SkeletonGAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonNTU RGB+D 2D
MMDa (CV)· 2014-11-06
0.365
best: 0.999 (SkeletonGAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonNTU RGB+D 2D
MMDs (CS)· 2014-11-06
0.354
best: 0.788 (SkeletonGAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonNTU RGB+D 2D
MMDs (CV)· 2014-11-06
0.373
best: 1.311 (SkeletonGAN)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonHuman3.6M
MMDa· 2014-11-06
0.161
best: 0.419 (Deep Video Generation, Prediction and Completion of Human Action Sequences)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784
Human action generationonHuman3.6M
MMDs· 2014-11-06
0.187
best: 0.436 (Deep Video Generation, Prediction and Completion of Human Action Sequences)
SOTA
Conditional Generative Adversarial Nets arXiv:1411.1784