StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning

Supplemental Materials

Scene textured using material generated by StableMaterials.

Generation Results.

Ablation Study and Design Evaluation.

We provide additional results including text-prompting and image-prompting generation samples, teaser materials, and additional comparisons, alongside a Nearest Neighbor analysis, showing that our method doesn’t simply copy from the dataset. We also provide additional comparisons and the materials used for the teaser scene.
For editing, we showcase SDEdit for material editing and prompt mixing, as well as material editing and mixing via inpainting. Furthermore, we offer the full list of prompts used to generate the textures sample with SDXL and some representative texture samples.
Finally, we evaluate our different steps in the pipeline through an ablation study of the training strategy, assessments of high-resolution approaches, evaluations of tileability, and ablation of the refinement step. Finally, we provide a comparison between LDM and LCM.