Video Prediction On Kth

Métriques

Cond

FVD

LPIPS

PSNR

Params (M)

Pred

SSIM

Train

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif

Nom du modèle	Cond	FVD	LPIPS	PSNR	Params (M)	Pred	SSIM	Train
stochastic-video-generation-with-a-learned	10	157.9	0.129	23.91	22.8	40	0.800	10
stochastic-adversarial-video-prediction	10	-	-	27.77	-	20	0.852	-
z-order-recurrent-neural-networks-for-video	10	-	-	27.58	-	20	0.817	-
decomposing-motion-and-content-for-natural	10	-	-	26.29	-	20	0.806	-
convolutional-tensor-train-lstm-for-spatio	10	-	0.196	27.62	-	20	0.815	-
diverse-video-generation-using-a-gaussian-1	-	-	-	-	-	-	-	-
video-prediction-recalling-long-term-motion	10	-	159.8	27.5	-	40	0.879	-
slamp-stochastic-latent-appearance-and-motion	10	228 ± 5	0.0795±0.0034	29.39±0.30	-	30	0.8646±0.0050	10
stochastic-variational-video-prediction	10	253.5	0.260	25.70	8.3	40	0.772	10
predrnn-a-recurrent-neural-network-for	10	-	0.139	28.37	-	20	0.839	-
stochastic-latent-residual-video-prediction-1	10	222 ± 3	0.0736±0.0029	29.69±032	-	30	0.8697±0.0046	10
unsupervised-learning-of-object-structure-and	10	395.0	0.124	24.29	2.3	40	0.766	10
convolutional-lstm-network-a-machine-learning	10	-	0.231	23.58	-	20	0.712	-
msnet-mutual-suppression-network-for	10	-	-	27.08	-	20	0.876	-
stochastic-variational-video-prediction	10	209.5	0.232	25.87	8.3	40	0.782	10
stochastic-adversarial-video-prediction	10	145.7	0.116	26.00	7.3	40	0.806	10
varnet-exploring-variations-for-unsupervised	10	-	-	28.48	-	20	0.843	-
dynamic-filter-networks	10	-	-	27.26	-	20	0.794	-
decomposing-motion-and-content-for-natural	10	-	-	25.95	-	20	0.804	-
accurate-grid-keypoint-learning-for-efficient	10	144.2	0.092	27.11	2.0	40	0.837	10
video-pixel-networks	10	-	-	23.76	-	20	0.746	-
stochastic-adversarial-video-prediction	10	183.7	0.126	23.79	17.6	40	0.699	10
deep-learning-for-precipitation-nowcasting-a	10	-	-	26.97	-	20	0.790	-
folded-recurrent-neural-networks-for-future	10	-	-	26.12	-	20	0.771	-
eidetic-3d-lstm-a-model-for-video-prediction	10	-	-	29.31	-	20	0.879	-
stochastic-video-generation-with-a-learned	10	377 ± 6	0.0923±0.0038	28.06±0.29	-	30	0.8438±0.0054	10
predrnn-towards-a-resolution-of-the-deep-in	10	-	-	28.47	-	20	0.865	-
stochastic-adversarial-video-prediction	10	374 ± 3	0.1120±0.0039	26.51±0.29	-	30	0.7564±0.0062	10
exploring-spatial-temporal-multi-frequency	10	-	-	29.85	-	20	0.893	-
stochastic-variational-video-prediction	10	636 ± 1	0.2049±0.0053	28.19±0.31	-	30	0.838	10
video-prediction-at-multiple-scales-with	-	-	0.029	27.81	-	-	0.951	-