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Complet4R: Geometric Complete 4D Reconstruction

About

We introduce Complet4R, a novel end-to-end framework for Geometric Complete 4D Reconstruction, which aims to recover temporally coherent and geometrically complete reconstruction for dynamic scenes. Our method formalizes the task of Geometric Complete 4D Reconstruction as a unified framework of reconstruction and completion, by directly accumulating full contexts onto each frame. Unlike previous approaches that rely on pairwise reconstruction or local motion estimation, Complet4R utilizes a decoder-only transformer to operate all context globally directly from sequential video input, reconstructing a complete geometry for every single timestamp, including occluded regions visible in other frames. Our method demonstrates the state-of-the-art performance on our proposed benchmark for Geometric Complete 4D Reconstruction and the 3D Point Tracking task. Code will be released to support future research.

Weibang Wang, Kenan Li, Zhuoguang Chen, Yijun Yuan, Hang Zhao• 2026

Related benchmarks

TaskDatasetResultRank
Video Depth EstimationSintel
Delta Threshold Accuracy (1.25)63.9
193
Camera pose estimationSintel
ATE0.215
192
Video Depth EstimationKITTI
Abs Rel0.079
126
Camera pose estimationScanNet
RPE (t)0.023
119
Video Depth EstimationBONN
AbsRel6.6
116
World Coordinate 3D Point TrackingPanoptic Studio
APD85.62
10
World Coordinate 3D Point Tracking on Dynamic PointsPStudio (Panoptic Studio)
APD76.88
6
World Coordinate 3D Point TrackingADT
APD87.58
6
World Coordinate 3D Point TrackingPO
Average Point Distance (APD)85.82
6
World Coordinate 3D Point TrackingDR
APD85.3
6
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