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Research map / 3D vision / NeRF and radiance fields

H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion

NeurIPS 2021 · 3D vision › NeRF and radiance fields · approach: Sparse-input NeRF regularization · 76 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add L_mask loss (ablation)H-NeRF · Human3.6MPSNR: 15.7 -> 24.4Helped
add root transformation T conditioning of NeRF appearance (ablation)H-NeRF · RenderPeoplePSNR: 24.43 -> 28.35Helped
add L_blend loss (ablation)H-NeRF · PeopleSnapshotSSIM: 0.478 -> 0.86Helped
add L_blend loss (ablation)H-NeRF · RenderPeopleChamfer x1e-3: 0.082 -> 0.121Hurt
add imGHUM parameter fine-tuning (ablation)H-NeRF · PeopleSnapshotPSNR: 25.69 -> 28.12Helped
add L_geom loss (ablation)H-NeRF · GHS3DChamfer x1e-3: 0.185 -> 0.113Helped
add L_geom loss (ablation)H-NeRF · RenderPeopleIoU: 0.845 -> 0.943Helped
add L_seg loss (ablation)H-NeRF · RenderPeoplePSNR: 26.46 -> 28.35Helped
add Gaussian noise to NeRF condition code (ablation)H-NeRF · RenderPeoplePSNR: 26.67 -> 28.35Helped
add L_eik Eikonal regularization (ablation)H-NeRF · GHS3DChamfer x1e-3: 0.104 -> 0.113No clear effect
replace NeuralBody with H-NeRFNeuralBody · RenderPeopleChamfer x1e-3: 0.536/0.63 -> 0.217/0.274Helped
replace NeuralBody with H-NeRFNeuralBody · Human3.6MPSNR: 24.86 -> 25.01Helped

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