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REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision

NeurIPS 2021 · 3D vision › Human pose estimation · approach: Human mesh recovery from images · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add self-contact, interaction-contact and collision losses (Lic, Lsc, Lics, Lscs) jointly (ablation)REMIPS · CHI3DMPJPE (mm): Lics removed: 127.1 -> 120.8 with all lossesHelped
add interaction contact signature loss Lics (ablation)REMIPS · CHI3DMPVPE (mm): 142.1 -> 134.7Helped
add self-contact signature loss Lscs (ablation)REMIPS · CHI3DMPJPE (mm): 125.3 -> 120.8Helped
add interpenetration collision loss Lic (ablation)REMIPS · CHI3DMPJPE (mm): 122.7 -> 120.8Helped
add self-collision loss Lsc (ablation)REMIPS · CHI3DMPJPE (mm): 123.5 -> 120.8Helped
provide pseudo ground-truth camera intrinsics as input (ablation)REMIPS · CHI3DMPJPE (mm): 139.0 -> 120.8Helped
provide large image context (crop around all persons) instead of tight single-person crop (ablation)REMIPS · PanopticMPJPE (mm): 141.7 -> 138.2Helped
feed all person tokens jointly rather than one bounding box at a time (ablation)REMIPS · PanopticMPJPE (mm): 138.3 vs 138.2No clear effect
REMIPS instead of SPIN in single-person tight-crop settingsingle-person pose estimation · PanopticMPJPE (mm): 164.9 -> 141.7Helped
downscale input image to simulate distance from camera (ablation)REMIPS · PanopticMPJPE (mm): 138.3 -> 140.2 (2x), 151.7 (4x), 210.5 (8x)Hurt
REMIPS vs HUND on single-person Human3.6M P1REMIPS · Human3.6M P1MPJPE / MPJPE-PA (mm): MPJPE-PA 66.0 -> 64.3; MPJPE 91.8 -> 96.1Mixed

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