Papers › Text2Mesh: Text-Driven Neural Stylization for Meshes
Text2Mesh: Text-Driven Neural Stylization for Meshes
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka
In this work, we develop intuitive controls for editing the style of 3D objects. Our framework, Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which conform to a target text prompt. We consider a disentangled representation of a 3D object using a fixed mesh input (content) coupled with a learned neural network, which we term neural style field network. In order to modify style, we obtain a similarity score between a text prompt (describing style) and a stylized mesh by harnessing the representational power of CLIP. Text2Mesh requires neither a pre-trained generative model nor a specialized 3D mesh dataset. It can handle low-quality meshes (non-manifold, boundaries, etc.) with arbitrary genus, and does not require UV parameterization. We demonstrate the ability of our technique to synthesize a myriad of styles over a wide variety of 3D meshes.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Neural Stylization | Meshes | Text2Mesh | Mean Opinion Score (Q1:Overall) | 3.9 ± 0.37 | #1 of 2 | Archive leaderboard | report |
| Neural Stylization | Meshes | Text2Mesh | Mean Opinion Score (Q2: Content) | 4.04 ± 0.53 | #1 of 2 | Archive leaderboard | report |
| Neural Stylization | Meshes | Text2Mesh | Mean Opinion Score (Q3: Style) | 3.91 ± 0.51 | #1 of 2 | Archive leaderboard | report |
| Neural Stylization | Meshes | VQGAN | Mean Opinion Score (Q1:Overall) | 2.83 ± 0.39 | #2 of 2 | Archive leaderboard | report |
| Neural Stylization | Meshes | VQGAN | Mean Opinion Score (Q2: Content) | 3.6 ± 0.68 | #2 of 2 | Archive leaderboard | report |
| Neural Stylization | Meshes | VQGAN | Mean Opinion Score (Q3: Style) | 2.59 ± 0.44 | #2 of 2 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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