WildHSR: Metric Feed-Forward 4D People-Scene Reconstruction from a 3D Foundation Model

arXiv:2609.29106 · cs.CV, cs.AI, cs.CG · Submitted 2026-09-24 · Read on arXiv

cs.CV, cs.AI, cs.CG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Alignment — 19× in this paper · explained in 1 episode
• Foundation Model — 14× in this paper · explained in 3 episodes
• Pseudo-labels — 11× in this paper · explained in 2 episodes
• Consistency — 9× in this paper · explained in 3 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Adaptation — 8× in this paper · explained in 1 episode
• Foundation Models — 7× in this paper · explained in 7 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 4× in this paper
• In International Conference on Learning Representations — 4× in this paper
• Calibration — 3× in this paper · explained in 7 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Decode — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• In European Conference on Computer Vision — 1× in this paper
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Pseudo-labeling — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• GUSH3R: Everyone Everywhere All at Once as Gaussians
• Human3R: Everyone Everywhere All at Once
• MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images
• VGGT-$\Omega$
• PromptHMR: Promptable Human Mesh Recovery

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