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Jiachen Tao

4 accepted papers

2026

Consistent Instance Field for Dynamic Scene Understanding

CVPR 2026

We introduce Consistent Instance Field, a continuous and probabilistic spatio-temporal representation for dynamic scene understanding.Unlike prior methods that rely on discrete tracking or view-dependent features, our approach disentangles visibility from persistent object identity by modeling each

Cited by 0SourceScholar
2026

ReflFlow: Learning Geometry-Guided Ray Tracing for Dynamic Specular Reconstruction

ICML 2026poster

We present ReflFlow, a novel framework for high-fidelity rendering of dynamic specular scenes by addressing two key challenges: precise reflection direction estimation and physically accurate modeling. To achieve this, we propose a Residual Material-Augmented 2D Gaussian Splatting representation tha…

Cited by 0SourceScholar
2025

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

NeurIPS 2025poster

We present Orientation-anchored Gaussian Splatting (OriGS), a novel framework for high-quality 4D reconstruction from casually captured monocular videos. While recent advances extend 3D Gaussian Splatting to dynamic scenes via various motion anchors, such as graph nodes or spline control points, the…

Cited by 0SourceScholar
2025

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

NeurIPS 2025spotlight

X-ray imaging is indispensable in medical diagnostics, yet its use is tightly regulated due to radiation exposure. Recent research borrows representations from the 3D reconstruction area to complete two tasks with reduced radiation dose: X-ray Novel View Synthesis (NVS) and Computed Tomography (CT)…

Cited by 0SourceScholar