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arXiv · 2602.11154

SurfPhase: 3D Interfacial Dynamics in Two-Phase Flows from Sparse Videos

Yue Gao·Hong-Xing Yu·Sanghyeon Chang·Qianxi Fu·Bo Zhu·Yoonjin Won·Juan Carlos Niebles·Jiajun Wu
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Abstract

Interfacial dynamics in two-phase flows govern momentum, heat, and mass transfer, yet remain difficult to measure experimentally. Classical techniques face intrinsic limitations near moving interfaces, while existing neural rendering methods target single-phase flows with diffuse boundaries and cannot handle sharp, deformable liquid-vapor interfaces. We propose SurfPhase, a novel model for reconstructing 3D interfacial dynamics from sparse camera views. Our approach integrates dynamic Gaussian surfels with a signed distance function formulation for geometric consistency, and leverages a video diffusion model to synthesize novel-view videos to refine reconstruction from sparse observations. We evaluate on a new dataset of high-speed pool boiling videos, demonstrating high-quality view synthesis and velocity estimation from only two camera views. Project website: https://yuegao.me/SurfPhase.

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Yue Gao, Hong-Xing Yu, Sanghyeon Chang, Qianxi Fu, Bo Zhu, Yoonjin Won, Juan Carlos Niebles, Jiajun Wu. 2026-02-11. SurfPhase: 3D Interfacial Dynamics in Two-Phase Flows from Sparse Videos. https://arxiv.org/abs/2602.11154

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