Video Generation On Bair Robot Pushing

Metrics

Cond

FVD score

Pred

Train

Results

Performance results of various models on this benchmark

					Paper Title
MoCoGAN	4	503	12	12	MoCoGAN: Decomposing Motion and Content for Video Generation
VideoFlow	3	131±5	14 (total 16)	10	VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation
SVG-FP (from FVD)	2	315.5	14	14	Stochastic Video Generation with a Learned Prior
WAM	2	159.6	28	14	Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction
SVG-LP (from vRNN)	2	256.62	28	10	Stochastic Video Generation with a Learned Prior
SAVP (from SRVP)	2	152±9	28	12	Stochastic Adversarial Video Prediction
SAVP (from vRNN)	2	143.43	28	10	Stochastic Adversarial Video Prediction
SV2P (from FVD)	2	262.5	14	14	Stochastic Variational Video Prediction
VRNN 1L	2	149.22	28	10	Improved Conditional VRNNs for Video Prediction
SRVP	2	162 ± 4	28	12	Stochastic Latent Residual Video Prediction
SAVP (from FVD)	2	116.4	14	14	Stochastic Adversarial Video Prediction
MCVD : c2t5p14	2	87.9	14	5	MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
SVG (from SRVP)	2	255±4	28	12	Stochastic Video Generation with a Learned Prior
SV2P (from SRVP)	2	965±17	28	12	Stochastic Variational Video Prediction
Hier-VRNN	2	143.4	28	10	Improved Conditional VRNNs for Video Prediction
SAVP-VAE (from WAM)	2	-	28	14	Stochastic Adversarial Video Prediction
CDNA (from FVD)	2	296.5	14	14	Unsupervised Learning for Physical Interaction through Video Prediction
SLAMP	2	245 ± 5	28	10	SLAMP: Stochastic Latent Appearance and Motion Prediction
MCVD : c2t5p28	2	118.4	28	5	MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Baseline (from LVT)	1	320.9	15	15	Latent Video Transformer

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Video Generation On Bair Robot Pushing

Metrics

Results