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cs.CV2026

RayMap3R: Inference-Time RayMap for Dynamic 3D Reconstruction

Feiran Wang, Zezhou Shang, Gaowen Liu +1

Streaming feed-forward 3D reconstruction enables real-time joint estimation of scene geometry and camera poses from RGB images. However, without explicit dynamic reasoning, streami…

cs.CV2026

CogniMap3D: Cognitive 3D Mapping and Rapid Retrieval

Feiran Wang, Junyi Wu, Dawen Cai +2

We present CogniMap3D, a bioinspired framework for dynamic 3D scene understanding and reconstruction that emulates human cognitive processes. Our approach maintains a persistent me…

cs.CV2025

TraceFlow: Dynamic 3D Reconstruction of Specular Scenes Driven by Ray Tracing

Jiachen Tao, Junyi Wu, Haoxuan Wang +3

We present TraceFlow, a novel framework for high-fidelity rendering of dynamic specular scenes by addressing two key challenges: precise reflection direction estimation and physica…

cs.CV2025

Motion Marionette: Rethinking Rigid Motion Transfer via Prior Guidance

Haoxuan Wang, Jiachen Tao, Junyi Wu +3

We present Motion Marionette, a zero-shot framework for rigid motion transfer from monocular source videos to single-view target images. Previous works typically employ geometric,…

cs.CV2025

Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos

Junyi Wu, Jiachen Tao, Haoxuan Wang +3

We present Orientation-anchored Gaussian Splatting (OriGS), a novel framework for high-quality 4D reconstruction from casually captured monocular videos. While recent advances exte…

cs.CV2025

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction

Feiran Wang, Jiachen Tao, Junyi Wu +5

X-ray imaging is indispensable in medical diagnostics, yet its use is tightly regulated due to potential health risks. To mitigate radiation exposure, recent research focuses on ge…