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Models/GUESS

GUESS

Reported on 32 benchmarks across 4 tasks · 1 paper

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

Audio16 results

10-shot image generationonHumanML3D
Diversity· 2024-01-04
9.826
best: 23.692 (Diffuion Motion)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
10-shot image generationonHumanML3D
FID· 2024-01-04
0.109
best: 0.028 (Motion Anything)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
10-shot image generationonHumanML3D
Multimodality· 2024-01-04
2.43
best: 4.139 (TM2D (t2m))
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
10-shot image generationonHumanML3D
R Precision Top3· 2024-01-04
0.787
best: 0.842 (MotionPCM)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
10-shot image generationonKIT Motion-Language
Diversity· 2024-01-04
10.933
best: 11.198 (T2M-GPT (τ = 0))
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
10-shot image generationonKIT Motion-Language
FID· 2024-01-04
0.371
best: 0.131 (Motion Anything)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
10-shot image generationonKIT Motion-Language
Multimodality· 2024-01-04
2.732
best: 3.627 (GraphMotion)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
10-shot image generationonKIT Motion-Language
R Precision Top3· 2024-01-04
0.751
best: 0.803 (BiPO)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
3D Human Pose TrackingonHumanML3D
Diversity· 2024-01-04
9.826
best: 23.692 (Diffuion Motion)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
3D Human Pose TrackingonHumanML3D
FID· 2024-01-04
0.109
best: 0.028 (Motion Anything)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
3D Human Pose TrackingonHumanML3D
Multimodality· 2024-01-04
2.43
best: 4.139 (TM2D (t2m))
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
3D Human Pose TrackingonHumanML3D
R Precision Top3· 2024-01-04
0.787
best: 0.842 (MotionPCM)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
3D Human Pose TrackingonKIT Motion-Language
Diversity· 2024-01-04
10.933
best: 11.198 (T2M-GPT (τ = 0))
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
3D Human Pose TrackingonKIT Motion-Language
FID· 2024-01-04
0.371
best: 0.131 (Motion Anything)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
3D Human Pose TrackingonKIT Motion-Language
Multimodality· 2024-01-04
2.732
best: 3.627 (GraphMotion)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
3D Human Pose TrackingonKIT Motion-Language
R Precision Top3· 2024-01-04
0.751
best: 0.803 (BiPO)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142

Computer Vision8 results

Pose TrackingonHumanML3D
Diversity· 2024-01-04
9.826
best: 23.692 (Diffuion Motion)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Pose TrackingonHumanML3D
FID· 2024-01-04
0.109
best: 0.028 (Motion Anything)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Pose TrackingonHumanML3D
Multimodality· 2024-01-04
2.43
best: 4.139 (TM2D (t2m))
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Pose TrackingonHumanML3D
R Precision Top3· 2024-01-04
0.787
best: 0.842 (MotionPCM)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Pose TrackingonKIT Motion-Language
Diversity· 2024-01-04
10.933
best: 11.198 (T2M-GPT (τ = 0))
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Pose TrackingonKIT Motion-Language
FID· 2024-01-04
0.371
best: 0.131 (Motion Anything)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Pose TrackingonKIT Motion-Language
Multimodality· 2024-01-04
2.732
best: 3.627 (GraphMotion)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Pose TrackingonKIT Motion-Language
R Precision Top3· 2024-01-04
0.751
best: 0.803 (BiPO)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142

Computer Code8 results

Motion SynthesisonHumanML3D
Diversity· 2024-01-04
9.826
best: 23.692 (Diffuion Motion)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Motion SynthesisonHumanML3D
FID· 2024-01-04
0.109
best: 0.028 (Motion Anything)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Motion SynthesisonHumanML3D
Multimodality· 2024-01-04
2.43
best: 4.139 (TM2D (t2m))
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Motion SynthesisonHumanML3D
R Precision Top3· 2024-01-04
0.787
best: 0.842 (MotionPCM)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Motion SynthesisonKIT Motion-Language
Diversity· 2024-01-04
10.933
best: 11.198 (T2M-GPT (τ = 0))
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Motion SynthesisonKIT Motion-Language
FID· 2024-01-04
0.371
best: 0.131 (Motion Anything)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Motion SynthesisonKIT Motion-Language
Multimodality· 2024-01-04
2.732
best: 3.627 (GraphMotion)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142
Motion SynthesisonKIT Motion-Language
R Precision Top3· 2024-01-04
0.751
best: 0.803 (BiPO)
GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation arXiv:2401.02142