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Recent texture generation methods achieve impressive results due to the powerful generative prior they leverage from large-scale text-to-image diffusion models.
Voronoi diagrams—a survey of a fundamental geometric data structure
Aurenhammer, F. 1991 · 1991
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Accelerating 3D Deep Learning with PyTorch3D
Ravi, N.; Reizenstein, J.; Novotny, D.; Gordon, T.; Lo, W.-Y.; Johnson, J.; and Gkioxari, G. 2020 · 2007
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Denoising diffusion implicit models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2010
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Shapenet: An information-rich 3d model repository
Chang, A. X.; Funkhouser, T.; Guibas, L.; Hanrahan, P.; Huang, Q.; Li, Z.; Savarese, S.; Savva, M.; Song, S.; Su, H.; et al. 2015 · 2015
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Rethinking the inception architecture for computer vision
Szegedy, C.; Vanhoucke, V.; Ioffe, S.; Shlens, J.; and Wojna, Z. 2016 · 2016
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Automatic differentiation in PyTorch
Paszke, A.; Gross, S.; Chintala, S.; Chanan, G.; Yang, E.; DeVito, Z.; Lin, Z.; Desmaison, A.; Antiga, L.; and Lerer, A. 2017 · 2017
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Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
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Efficient Geometry-aware 3D Generative Adversarial Networks
Chan, E. R.; Lin, C. Z.; Chan, M. A.; Nagano, K.; Pan, B.; Mello, S. D.; Gallo, O.; Guibas, L.; Tremblay, J.; Khamis, S.; Karras, T.; and Wetzstein, G. 2021 · 2021
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Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
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AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis
Chen, Z.; Yin, K.; and Fidler, S. 2022 · 2022
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Objaverse: A Universe of Annotated 3D Objects
Deitke, M.; Schwenk, D.; Salvador, J.; Weihs, L.; Michel, O.; VanderBilt, E.; Schmidt, L.; Ehsani, K.; Kembhavi, A.; and Farhadi, A. 2022 · 2022
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GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Gao, J.; Shen, T.; Wang, Z.; Chen, W.; Yin, K.; Li, D.; Litany, O.; Gojcic, Z.; and Fidler, S. 2022 · 2022
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DreamFusion: Text-to-3D using 2D Diffusion
Poole, B.; Jain, A.; Barron, J. T.; and Mildenhall, B. 2022 · 2022
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Hierarchical text-conditional image generation with clip latents
Ramesh, A.; Dhariwal, P.; Nichol, A.; Chu, C.; and Chen, M. 2022 · 2022
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High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
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DreamBooth: Fine Tuning Text-to-image Diffusion Models for Subject-Driven Generation
Ruiz, N.; Li, Y.; Jampani, V.; Pritch, Y.; Rubinstein, M.; and Aberman, K. 2022 · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
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. 2022 · 2022
Cited alongside, same era.
Texturify: Generating Textures on 3D Shape Surfaces
Siddiqui, Y.; Thies, J.; Ma, F.; Shan, Q.; Nießner, M.; and Dai, A. 2022 · 2022
Cited alongside, same era.
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
Cao, T.; Kreis, K.; Fidler, S.; Sharp, N.; and Yin, K. 2023 · 2023
Cited alongside, same era.
SMPLitex: A Generative Model and Dataset for 3D Human Texture Estimation from Single Image
Casas, D.; and Comino-Trinidad, M. 2023 · 2023
Cited alongside, same era.
Objaverse-XL: A Universe of 10M+ 3D Objects
Deitke, M.; Liu, R.; Wallingford, M.; Ngo, H.; Michel, O.; Kusupati, A.; Fan, A.; Laforte, C.; Voleti, V.; Gadre, S. Y.; VanderBilt, E.; Kembhavi, A.; Vondrick, C.; Gkioxari, G.; Ehsani, K.; Schmidt, L.; and Farhadi, A. 2023 · 2023
ConTEXTure: Consistent Multiview Images to Texture
Ahn, J.; Cho, S.; Jung, H.; Hong, K.; Ban, S.; and Jung, M.-R. 2024 · 2024
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Llama 3 Model Card
AI@Meta. 2024 · 2024
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Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects
Bensadoun, R.; Kleiman, Y.; Azuri, I.; Harosh, O.; Vedaldi, A.; Neverova, N.; and Gafni, O. 2024 · 2024
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Generic 3D Diffusion Adapter Using Controlled Multi-View Editing
Chen, H.; Shi, R.; Liu, Y.; Shen, B.; Gu, J.; Wetzstein, G.; Su, H.; and Guibas, L. 2024 · 2024
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FlashTex: Fast Relightable Mesh Texturing with LightControlNet
Deng, K.; Omernick, T.; Weiss, A.; Ramanan, D.; Zhu, J.-Y.; Zhou, T.; and Agrawala, M. 2024 · 2024
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Cited alongside, same era.
Lrm: Large reconstruction model for single image to 3d
Hong, Y.; Zhang, K.; Gu, J.; Bi, S.; Zhou, Y.; Liu, D.; Liu, F.; Sunkavalli, K.; Bui, T.; and Tan, H. 2023 · 2023
Cited alongside, same era.
Text-Guided Texturing by Synchronized Multi-View Diffusion
Liu, Y.; Xie, M.; Liu, H.; and Wong, T.-T. 2023 · 2023
Cited alongside, same era.
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Luo, S.; Tan, Y.; Huang, L.; Li, J.; and Zhao, H. 2023 · 2023
Cited alongside, same era.
Latent-nerf for shape-guided generation of 3d shapes and textures
Metzer, G.; Richardson, E.; Patashnik, O.; Giryes, R.; and Cohen-Or, D. 2023 · 2023
Cited alongside, same era.
Texture: Text-guided texturing of 3d shapes
Richardson, E.; Metzer, G.; Alaluf, Y.; Giryes, R.; and Cohen-Or, D. 2023 · 2023
Cited alongside, same era.
Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Ye, H.; Zhang, J.; Liu, S.; Han, X.; and Yang, W. 2023 · 2023
Cited alongside, same era.
Texture Generation on 3D Meshes with Point-UV Diffusion
Yu, X.; Dai, P.; Li, W.; Ma, L.; Liu, Z.; and Qi, X. 2023 · 2023
Cited alongside, same era.
GenesisTex: Adapting Image Denoising Diffusion to Texture Space
Gao, C.; Jiang, B.; Li, X.; Zhang, Y.; and Yu, Q. 2024 · 2024
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TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling
Huo, D.; Guo, Z.; Zuo, X.; Shi, Z.; Lu, J.; Dai, P.; Xu, S.; Cheng, L.; and Yang, Y.-H. 2024 · 2024
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VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing
Liu, S.; Yu, C.; Cao, C.; Qian, W.; and Wang, F. 2024 · 2024
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Single Mesh Diffusion Models with Field Latents for Texture Generation
Mitchel, T. W.; Esteves, C.; and Makadia, A. 2024 · 2024
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Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Pan, Z.; Lu, J.; Zhu, X.; and Zhang, L. 2024 · 2024
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InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting
Tang, J.; Lu, R.; Chen, X.; Wen, X.; Zeng, G.; and Liu, Z. 2024 · 2024
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TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion
Yeh, Y.-Y.; Huang, J.-B.; Kim, C.; Xiao, L.; Nguyen-Phuoc, T.; Khan, N.; Zhang, C.; Chandraker, M.; Marshall, C. S.; Dong, Z.; et al. 2024 · 2024
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Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering
Youwang, K.; Oh, T.-H.; and Pons-Moll, G. 2024 · 2024
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Paint3d: Paint anything 3d with lighting-less texture diffusion models
Zeng, X.; Chen, X.; Qi, Z.; Liu, W.; Zhao, Z.; Wang, Z.; Fu, B.; Liu, Y.; and Yu, G. 2024 · 2024
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TexPainter: Generative Mesh Texturing with Multi-view Consistency
Zhang, H.; Pan, Z.; Zhang, C.; Zhu, L.; and Gao, X. 2024a · 2024
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