Table 3 Quantitative results in P-MPJPE(mm) on Human3.6M under Protocol 2. Other demonstrations are same to TableĀ 2.

From: Dual chain dynamic hypergraph convolution network for 3D human pose estimation

Method

Dire

Disc

Eat

Greet

Phone

Photo

Pose

Purch

Sit

SitD

Smoke

Wait

WalkD

Walk

WalkT

Avg

Martinez et al.6

39.5

43.2

46.4

47.0

51.0

56.0

41.4

40.6

56.5

69.4

49.2

45.0

49.5

38.0

43.1

47.7

Pavlakos et al.1

34.7

39.8

41.8

38.6

42.5

47.5

38.0

36.6

50.7

56.8

42.6

39.6

43.9

32.1

36.5

41.8

Fang et al.43

38.2

41.7

43.7

44.9

48.5

55.3

40.2

38.2

54.5

64.4

47.2

44.3

47.3

36.7

41.7

45.7

Ci et al.5

36.9

41.6

38.0

41.0

41.9

51.1

38.2

37.6

49.1

62.1

43.1

39.9

43.5

32.2

37.0

42.2

Liu et al.12

35.9

40.0

38.0

41.5

42.5

51.4

37.8

36.0

48.6

56.6

41.8

38.3

42.7

31.7

36.2

41.2

Li et al.14

35.8

39.7

36.3

40.6

40.2

45.9

36.8

35.8

47.3

53.7

40.7

36.4

43.1

29.8

32.8

39.6

Zhang et al.40

35.7

39.7

38.5

40.9

41.6

46.1

36.3

36.5

49.1

55.2

41.6

36.6

43.5

31.2

34.4

40.5

Ji et al.41

37.1

42.3

42.7

42.3

44.9

54.4

38.1

38.4

53.4

61.0

43.9

39.7

45.4

32.9

37.8

42.9

Ours(8SPb)

37.0

42.1

42.0

40.8

44.4

36.9

37.9

51.3

68.3

45.4

54.9

41.2

32.1

45.6

36.6

43.8

Martinez et al.6(GT)

–

–

–

–

–

–

–

–

–

–

–

–

–

–

–

37.1

Ci et al.5(GT)

24.6

28.6

24.0

27.9

27.1

31.0

28.0

25.0

31.2

35.1

27.6

28.0

29.1

24.3

26.9

27.9

Zhang et al.40

23.4

29.1

24.7

26.2

26.3

31.1

28.8

24.3

30.7

37.7

27.2

28.6

29.1

23.4

24.0

27.6

Xie et al.13(GT)

31.3

37.9

28.4

32.1

34.2

40.6

35.8

31.2

35.4

42.9

34.4

34.6

34.3

25.8

27.7

33.8

Ours(4SPb)(GT)

23.5

29.1

27.4

27.2

29.1

28.2

25.3

37.1

45.5

30.5

32.5

29.8

24.5

30.6

23.5

29.6

Ours(8SPb)(GT)

23.2

28.4

24.6

26.6

26.5

26.8

23.8

34.6

44.6

28.9

32.7

28.1

22.4

29.6

21.9

28.1