GAUGE: Group-Wise View-Inconsistency Rectification for Feed-Forward 4D Tracking

arXiv:2609.32596 · cs.CV, cs.AI · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/HCPLab-SYSU/GAUGE

Terminology

• Benchmark — 12× in this paper · explained in 2 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Consistency — 8× in this paper · explained in 3 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Alignment — 7× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 7× in this paper
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Anchor Noise — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Digital Twin — 3× in this paper · explained in 5 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Anchor Source — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Group-wise Adaptive Unsupervised Gauge Estimation — 2× in this paper
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Systematic Bias — 2× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Gauge Freedom — 1× in this paper · explained in 2 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Motion Primitives — 1× in this paper · explained in 2 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement
• ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
• PRISM-SLAM: Probabilistic Ray-Grounded Inference for Scale-aware Metric SLAM
• Learning Image-Adaptive Scale Fields for Metric Depth Recovery
• SM4RT: Learning Structured Motion Geometry for 4D Reconstruction
• 4RC: 4D Reconstruction via Conditional Querying Anytime and Anywhere
• DELTA: Dense Efficient Long-range 3D Tracking for any video
• The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations
• DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
• Tent: Fully Test-time Adaptation by Entropy Minimization
• PD$^{2}$GS: Part-Level Decoupling and Continuous Deformation of Articulated Objects via Gaussian Splatting
• TAPIP3D: Tracking Any Point in Persistent 3D Geometry
• MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

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