BindStyle: SINGLE-IMAGE DYNAMIC GAUSSIAN STYLIZATION VIA MESH-BOUND STYLE PROPAGATION

Stylizing a dynamic 3D scene from a single image requires colors, textures, and geometric changes to remain attached to the same scene elements as they move. Independent frame-wise edits do not enforce this association, while appearance-only edits leave spatial support unchanged. We propose , a mesh-bound Gaussian framework that learns time-shared appearance and local geometry from a style reference. Given a pretrained Gaussian scene and a corresponding mesh sequence, the binding transports the learned attributes through the supplied motion while mesh vertices and attachment identities remain fixed. Color changes and geometric changes can explain the same rendered discrepancy, so controls which parameters each supervisory signal updates. Local VGG feature matching guides appearance through spherical-harmonic coefficients, whereas reference-conditioned video diffusion guides local positions, scales, and rotations using mesh depth and temporal context. The reference schedule first adapts appearance, then enables geometry while continuing appearance updates. This gives geometric adaptation an appearance-informed starting point and lets appearance adjust as Gaussian support changes. The resulting model renders the supplied motion without per-frame style optimization or diffusion inference.