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Human Pose Prediction on Human 3.6M Subject 5 (test)

0.18Walking Error (Avg)

DCT-based Graph Convolutional Network

Updated 3d ago

Evaluation Results

Method
DCT-based Graph Convolutional Network 2019.08	0.18	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.16	0.22	0.2	0.26	0.36	0.19	0.29	0.43	0.29	0.3	0.14	0.23	0.46	0.15	0.27
AGED w/adv 2019.08	0.22	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.17	0.27	0.27	0.23	0.56	0.19	0.31	0.46	0.41	0.33	0.23	0.24	0.5	0.23	0.31
Residual sup. 2019.08	0.28	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.23	0.26	0.31	0.26	0.75	0.23	0.36	0.51	0.41	0.39	0.24	0.28	0.56	0.31	0.36
AGED w/o adv 2019.08	0.28	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.22	0.3	0.3	0.26	0.61	0.23	0.34	0.46	0.46	0.38	0.24	0.31	0.51	0.29	0.32
DCT-based Graph Convolutional Network 2019.08	0.31	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.29	0.41	0.51	0.45	0.6	0.34	0.44	0.65	0.45	0.61	0.34	0.5	0.79	0.34	0.51
convSeq2Seq 2019.08	0.33	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.22	0.3	0.32	0.39	0.51	0.59	0.29	0.63	0.39	0.41	0.23	0.3	0.59	0.27	0.38
AGED w/adv 2019.08	0.36	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.28	0.43	0.56	0.39	0.81	0.31	0.58	0.78	0.76	0.62	0.48	0.5	0.81	0.41	0.54
zero-velocity 2019.08	0.39	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.27	0.26	0.31	0.39	0.54	0.64	0.28	0.62	0.4	0.39	0.25	0.34	0.6	0.33	0.4
AGED w/o adv 2019.08	0.42	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.35	0.55	0.63	0.46	0.95	0.42	0.7	0.89	0.87	0.77	0.52	0.64	0.87	0.51	0.62
Residual sup. 2019.08	0.49	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.39	0.49	0.68	0.47	1.17	0.43	0.71	0.97	1.05	0.81	0.51	0.53	0.91	0.58	0.67
DCT-based Graph Convolutional Network 2019.08	0.49	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.5	0.85	0.77	0.71	0.95	0.5	1.01	1.05	0.8	0.9	0.58	0.91	1.12	0.52	0.83
convSeq2Seq 2019.08	0.54	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.36	0.49	0.67	0.6	0.82	1.13	0.6	0.91	0.61	0.78	0.49	0.62	1	0.52	0.68
AGED w/adv 2019.08	0.55	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.51	0.82	0.76	0.63	1.3	0.58	1.12	1.01	1.05	0.98	0.81	1.02	1.15	0.56	0.85
DCT-based Graph Convolutional Network 2019.08	0.56	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.62	0.8	0.85	0.79	1.13	0.53	1.24	1.13	0.97	1	0.7	1.14	1.29	0.57	0.95
AGED w/o adv 2019.08	0.66	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.61	0.98	0.97	0.71	1.44	0.61	1.19	1.06	1.23	1.18	0.92	1.08	1.21	0.72	0.96
AGED w/adv 2019.08	0.67	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.64	0.84	0.83	0.69	1.46	0.68	1.34	1.07	1.19	1.1	0.95	1.13	1.27	0.62	0.97
zero-velocity 2019.08	0.68	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.48	0.48	0.67	0.59	0.89	1.21	0.57	0.88	0.63	0.74	0.51	0.67	0.98	0.66	0.78
convSeq2Seq 2019.08	0.68	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.58	0.96	0.94	0.8	1.21	1.51	1.12	1.19	1.02	1.16	0.88	1.09	1.32	0.71	1.01
Residual sup. 2019.08	0.72	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.62	1.05	1.01	0.72	1.74	0.69	1.22	1.07	1.49	1.4	0.9	1.02	1.26	0.87	1.02
convSeq2Seq 2019.08	0.73	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.71	0.92	1.01	0.91	1.38	1.65	1.37	1.29	1.18	1.31	1.06	1.3	1.44	0.74	1.13
AGED w/o adv 2019.08	0.73	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.74	0.99	1.06	0.81	1.61	0.79	1.4	1.11	1.51	1.41	1.01	1.12	1.33	0.75	1.07
Residual sup. 2019.08	0.81	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.76	1.15	1.09	0.84	1.83	0.82	1.48	1.16	1.63	1.62	1.05	1.14	1.4	0.91	1.15
zero-velocity 2019.08	0.99	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.73	0.97	0.94	0.79	1.3	1.65	1.13	1.19	1.02	1.07	0.79	1.22	1.36	0.94	1.07
zero-velocity 2019.08	1.15	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.86	0.95	1.04	0.89	1.49	1.83	1.37	1.27	1.18	1.19	0.92	1.47	1.5	0.99	1.21
ERD 2019.09	-	1.3	1.56	1.84	2	2.38	1.66	1.93	2.88	2.36	2.41	2.34	2.74	3.73	3.68	3.82	2.67	2.97	3.23	3.47	2.92	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
LSTM-3LR 2019.09	-	1.18	1.5	1.67	1.81	2.2	1.36	1.79	2.29	2.49	2.82	2.05	2.34	3.1	3.24	3.42	2.25	2.33	2.45	2.48	2.93	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
SRNN 2019.09	-	1.08	1.34	1.6	1.9	2.13	1.35	1.71	2.12	2.28	2.58	1.9	2.3	2.9	3.21	3.23	1.67	2.03	2.2	2.39	2.43	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dropout-AE 2019.09	-	1	1.11	1.39	1.55	1.39	1.31	1.49	1.86	1.76	2.01	0.92	1.03	1.15	1.38	1.77	1.11	1.2	1.38	1.53	1.73	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Residual 2019.09	-	0.32	0.54	0.72	0.86	0.96	0.25	0.42	0.64	0.94	1.3	0.33	0.6	1.01	1.23	1.83	0.34	0.74	1.04	1.43	1.75	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Zero-velocity 2019.09	-	0.39	0.68	0.99	1.35	1.32	0.27	0.48	0.73	1.04	1.38	0.26	0.48	0.97	1.02	1.69	0.31	0.67	0.94	1.41	1.96	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
TP-RNN 2019.09	-	0.25	0.41	0.58	0.74	0.77	0.2	0.33	0.53	0.84	1.14	0.26	0.48	0.88	0.98	1.66	0.3	0.66	0.98	1.39	1.74	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
WGAIL-div 2019.09	-	0.21	0.34	0.53	0.67	0.69	0.17	0.3	0.52	0.79	1.13	0.23	0.44	0.86	0.95	1.63	0.27	0.56	0.82	1.34	1.81	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-