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Manually creating textures for 3D meshes is time-consuming, even for expert visual content creators.
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Munkberg, J., Hasselgren, J., Shen, T., Gao, J., Chen, W., Evans, A., Müller, T., Fidler, S.: Extracting Triangular 3D Models, Materials, and Lighting From Images. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
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Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
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Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E.L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al.: Photorealistic text-to-image diffusion models with deep language understanding. In: Advances in Neural Information Processing Systems (NeurIPS) (2022)
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Siddiqui, Y., Thies, J., Ma, F., Shan, Q., Nießner, M., Dai, A.: Texturify: Generating textures on 3d shape surfaces. In: European Conference on Computer Vision (ECCV) (2022)
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Richardson, E., Metzer, G., Alaluf, Y., Giryes, R., Cohen-Or, D.: Texture: Text-guided texturing of 3d shapes. In: ACM SIGGRAPH (2023)
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Wang, Z., Lu, C., Wang, Y., Bao, F., Li, C., Su, H., Zhu, J.: Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation. In: Advances in Neural Information Processing Systems (NeurIPS) (2023)
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Weber, E., Holynski, A., Jampani, V., Saxena, S., Snavely, N., Kar, A., Kanazawa, A.: Nerfiller: Completing scenes via generative 3d inpainting. In: arXiv (2023)
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Zhao, M., Zhao, C., Liang, X., Li, L., Zhao, Z., Hu, Z., Fan, C., Yu, X.: Efficientdreamer: High-fidelity and robust 3d creation via orthogonal-view diffusion prior. In: arXiv (2023)
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Zhuang, J., Wang, C., Lin, L., Liu, L., Li, G.: Dreameditor: Text-driven 3d scene editing with neural fields. In: SIGGRAPH Asia 2023 Conference Papers. pp. 1–10 (2023)
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