HyperAI

Human Pose Forecasting On Human36M

Metrics

Average MPJPE (mm) @ 1000 ms
Average MPJPE (mm) @ 400ms

Results

Performance results of various models on this benchmark

Comparison Table
Model NameAverage MPJPE (mm) @ 1000 msAverage MPJPE (mm) @ 400ms
a-unified-masked-autoencoder-with-patchified112.161.6
a-mixer-layer-is-worth-one-graph-convolution108.656.7
accurate-and-diverse-sampling-of-sequences--
diverse-human-motion-prediction-guided-by--
generating-smooth-pose-sequences-for-diverse--
multiscale-residual-learning-of-graph81.9556.41
motionmixer-mlp-based-3d-human-body-pose111.059.3
a-generic-diffusion-based-approach-for-3d--
eqmotion-equivariant-multi-agent-motion106.955.0
msr-gcn-multi-scale-residual-graph114.262.9
hp-gan-probabilistic-3d-human-motion--
gcnext-towards-the-unity-of-graph64.730.5
towards-accurate-human-motion-prediction-via109.255.5
space-time-separable-graph-convolutional-1117.065.8
action-agnostic-human-pose-forecasting--
imitation-learning-for-human-pose-prediction--
auxiliary-tasks-benefit-3d-skeleton-based10754.1
the-pose-knows-video-forecasting-by--
pages-iai-uni-bonn-de-https-pages-iai-uni149.280.8
mt-vae-learning-motion-transformations-to--
multi-graph-convolution-network-for-pose72.934.4
anypose-anytime-3d-human-pose-forecasting-via128.280.6
back-to-mlp-a-simple-baseline-for-human109.457.3
remembering-what-is-important-a-factorised-34.8
deep-unsupervised-clustering-with-gaussian--
structural-rnn-deep-learning-on-spatio--
transfusion-a-practical-and-effective--
learning-trajectory-dependencies-for-human113.063.5
diverse-trajectory-forecasting-with--
recurrent-network-models-for-human-dynamics--
belfusion-latent-diffusion-for-behavior--
progressively-generating-better-initial110.358.5
diverse-human-motion-prediction-via-gumbel--