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Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View

CVPR 2023 · 3D vision › Human pose estimation · approach: Human mesh recovery from images · 19 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ImpHMR instead of PAREFrame-based human mesh recovery · 3DPW testPA-MPJPE (mm): 52.3 -> 49.8Helped
Use ImpHMR instead of PAREHuman mesh recovery · 3DPW-OCCMPJPE (mm): 90.5 -> 86.5Helped
Add feature fields and volume rendering to the HMR architecture (ablation)ImpHMR · 3DPWMPJPE (mm): 101.6 -> 96.5Helped
Add arbitrary-view imagination loss (ablation)ImpHMR without geometric guidance · 3DPWMPJPE (mm): 96.5 -> 94.9Helped
Add appearance consistency loss (ablation)ImpHMR without geometric guidance · 3DPWMPJPE (mm): 94.9 -> 93.5Helped
Add geometric guidance branch (ablation)ImpHMR with regression, imagination, and consistency losses · 3DPWMPJPE (mm): 93.5 -> 92.7Helped
Add foreground attention (ablation)ImpHMR with DWConv aggregation · 3DPWMPJPE (mm): 94.7 -> 92.7Helped
Use DWConv aggregation instead of GAP (ablation)ImpHMR with foreground attention · 3DPWMPJPE (mm): 95.3 -> 92.7Helped
Replace DWConv aggregation with convolution (ablation)ImpHMR with foreground attention · 3DPWMPJPE (mm): 92.7 -> 96.0Hurt
Add appearance consistency loss (ablation)ImpHMR trained on COCO · LSP datasetESV (shape-view variation): 0.0774 -> 0.0561Helped
Use ImpHMR instead of PAREHuman mesh recovery · 3DPWfps: 27.5 -> 88.8Helped

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