Research map / 3D vision / Face and shape
POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use dynamic programming instead of greedy keyframe selection | POSEFusion · Whole sequence | mean multi-view depth fitting error (cm): 0.7732 -> 0.7507 | Helped |
| Remove pose energy from keyframe selection (ablation) | POSEFusion · Human RGBD sequences | multi-view depth fitting error | Hurt |
| Remove visibility energy from keyframe selection (ablation) | POSEFusion · Human RGBD sequences | multi-view depth fitting error | Hurt |
| Use per-frame keyframe selection instead of joint selection (ablation) | POSEFusion · Adjacent video frames | temporal coherence of invisible details | Hurt |
| Use greedy selection instead of global dynamic programming (ablation) | POSEFusion · Whole sequence | physical plausibility of invisible details | Hurt |
Closest papers by meaning
- SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting (CVPR 2025 · similarity 0.86)
- ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos (CVPR 2025 · similarity 0.85)
- Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses (CVPR 2024 · similarity 0.85)
- Hand-held Object Reconstruction from RGB Video with Dynamic Interaction (CVPR 2025 · similarity 0.84)
- Controllable Human-centric Keyframe Interpolation with Generative Prior (NeurIPS 2025 · similarity 0.84)
- Lifting by Image – Leveraging Image Cues for Accurate 3D Human Pose Estimation (AAAI 2024 · similarity 0.84)
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