SurfPhase: 3D Interfacial Dynamics in Two-Phase Flows from Sparse Videos
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 34 of its 59 references that are in the map. First posted on arXiv 11 Feb 2026.
Builds on
34 of 59 references.
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