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3D content creation from text prompts has shown remarkable success recently.
Chang, A.X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., Xiao, J., Yi, L., Yu, F.: Shapenet: An information-rich 3d model repository (2015)
2015
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Sohl-Dickstein, J., Weiss, E.A., Maheswaranathan, N., Ganguli, S.: Deep unsupervised learning using nonequilibrium thermodynamics (2015)
2015
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Loshchilov, I., Hutter, F.: Decoupled weight decay regularization (2019)
2019
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Roberts, A., Raffel, C., Lee, K., Matena, M., Shazeer, N., Liu, P.J., Narang, S., Li, W., Zhou, Y.: Exploring the limits of transfer learning with a unified text-to-text transformer. Tech. rep., Google (2019)
2019
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Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models (2020)
2020
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Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: Nerf: Representing scenes as neural radiance fields for view synthesis (2020)
2020
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Ziegler, D.M., Stiennon, N., Wu, J., Brown, T.B., Radford, A., Amodei, D., Christiano, P., Irving, G.: Fine-tuning language models from human preferences (2020)
2020
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Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis (2021)
2021
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Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., Sutskever, I.: Learning transferable visual models from natural language supervision (2021)
2021
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Deitke, M., Schwenk, D., Salvador, J., Weihs, L., Michel, O., VanderBilt, E., Schmidt, L., Ehsani, K., Kembhavi, A., Farhadi, A.: Objaverse: A universe of annotated 3d objects (2022)
2022
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Jain, A., Mildenhall, B., Barron, J.T., Abbeel, P., Poole, B.: Zero-shot text-guided object generation with dream fields (2022)
2022
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Li, J., Li, D., Xiong, C., Hoi, S.: Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation (2022)
2022
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Metzer, G., Richardson, E., Patashnik, O., Giryes, R., Cohen-Or, D.: Latent-nerf for shape-guided generation of 3d shapes and textures (2022)
2022
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Nichol, A., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., McGrew, B., Sutskever, I., Chen, M.: Glide: Towards photorealistic image generation and editing with text-guided diffusion models (2022)
2022
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Nichol, A., Jun, H., Dhariwal, P., Mishkin, P., Chen, M.: Point-e: A system for generating 3d point clouds from complex prompts (2022)
2022
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Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C.L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P., Leike, J., Lowe, R.: Training language models to follow instructions with human feedback (2022)
2022
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Poole, B., Jain, A., Barron, J.T., Mildenhall, B.: Dreamfusion: Text-to-3d using 2d diffusion (2022)
2022
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Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., Chen, M.: Hierarchical text-conditional image generation with clip latents (2022)
2022
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Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models (2022)
2022
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Stiennon, N., Ouyang, L., Wu, J., Ziegler, D.M., Lowe, R., Voss, C., Radford, A., Amodei, D., Christiano, P.: Learning to summarize from human feedback (2022)
2022
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Wang, H., Du, X., Li, J., Yeh, R.A., Shakhnarovich, G.: Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation (2022)
2022
Cited alongside, same era.
2023
Cited alongside, same era.
Chen, R., Chen, Y., Jiao, N., Jia, K.: Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation (2023)
2023
Cited alongside, same era.
Chen, Y., Chen, Z., Zhang, C., Wang, F., Yang, X., Wang, Y., Cai, Z., Yang, L., Liu, H., Lin, G.: Gaussianeditor: Swift and controllable 3d editing with gaussian splatting (2023)
2023
Cited alongside, same era.
Ding, L., Dong, S., Huang, Z., Wang, Z., Zhang, Y., Gong, K., Xu, D., Xue, T.: Text-to-3d generation with bidirectional diffusion using both 2d and 3d priors (2023)
OpenAI, :, Achiam, J., Adler, S., Agarwal, S., et al.: Gpt-4 technical report (2023)
2023
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Rafailov, R., Sharma, A., Mitchell, E., Ermon, S., Manning, C.D., Finn, C.: Direct preference optimization: Your language model is secretly a reward model (2023)
2023
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Shi, Y., Wang, P., Ye, J., Long, M., Li, K., Yang, X.: Mvdream: Multi-view diffusion for 3d generation (2023)
2023
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Tang, J., Ren, J., Zhou, H., Liu, Z., Zeng, G.: Dreamgaussian: Generative gaussian splatting for efficient 3d content creation (2023)
2023
Later among the works it cites.
Team, G., Anil, R., Borgeaud, S., et al.: Gemini: A family of highly capable multimodal models (2023)
2023
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2023
Cited alongside, same era.
Fan, Y., Watkins, O., Du, Y., Liu, H., Ryu, M., Boutilier, C., Abbeel, P., Ghavamzadeh, M., Lee, K., Lee, K.: Dpok: Reinforcement learning for fine-tuning text-to-image diffusion models (2023)
2023
Cited alongside, same era.
Guo, Y.C., Liu, Y.T., Shao, R., Laforte, C., Voleti, V., Luo, G., Chen, C.H., Zou, Z.X., Wang, C., Cao, Y.P., Zhang, S.H.: threestudio: A unified framework for 3d content generation. https://github.com/threestudio-project/threestudio (2023)
2023
Cited alongside, same era.
Gupta, A., Xiong, W., Nie, Y., Jones, I., Oğuz, B.: 3dgen: Triplane latent diffusion for textured mesh generation (2023)
2023
Cited alongside, same era.
He, Y., Bai, Y., Lin, M., Zhao, W., Hu, Y., Sheng, J., Yi, R., Li, J., Liu, Y.J.: T 3 bench: Benchmarking current progress in text-to-3d generation (2023)
2023
Cited alongside, same era.
Hong, Y., Zhang, K., Gu, J., Bi, S., Zhou, Y., Liu, D., Liu, F., Sunkavalli, K., Bui, T., Tan, H.: Lrm: Large reconstruction model for single image to 3d (2023)
2023
Cited alongside, same era.
Jun, H., Nichol, A.: Shap-e: Generating conditional 3d implicit functions (2023)
2023
Cited alongside, same era.
Kerbl, B., Kopanas, G., Leimkühler, T., Drettakis, G.: 3d gaussian splatting for real-time radiance field rendering (2023)
2023
Cited alongside, same era.
Wallace, B., Dang, M., Rafailov, R., Zhou, L., Lou, A., Purushwalkam, S., Ermon, S., Xiong, C., Joty, S., Naik, N.: Diffusion model alignment using direct preference optimization (2023)
2023
Later among the works it cites.
Wang, Z., Li, M., Chen, C.: Luciddreaming: Controllable object-centric 3d generation (2023)
2023
Later among the works it cites.
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 (2023)
2023
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Wei, M., Zhou, J., Sun, J., Zhang, X.: Adversarial score distillation: When score distillation meets gan (2023)
2023
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Xu, J., Liu, X., Wu, Y., Tong, Y., Li, Q., Ding, M., Tang, J., Dong, Y.: Imagereward: Learning and evaluating human preferences for text-to-image generation (2023)
2023
Later among the works it cites.
Yang, K., Tao, J., Lyu, J., Ge, C., Chen, J., Li, Q., Shen, W., Zhu, X., Li, X.: Using human feedback to fine-tune diffusion models without any reward model (2023)
2023
Later among the works it cites.
Zhang, L., Rao, A., Agrawala, M.: Adding conditional control to text-to-image diffusion models (2023)
2023
Later among the works it cites.
Zhu, J., Zhuang, P.: Hifa: High-fidelity text-to-3d generation with advanced diffusion guidance (2023)
2023
Later among the works it cites.
Zhuang, J., Wang, C., Liu, L., Lin, L., Li, G.: Dreameditor: Text-driven 3d scene editing with neural fields (2023)
2023
Later among the works it cites.
Black, K., Janner, M., Du, Y., Kostrikov, I., Levine, S.: Training diffusion models with reinforcement learning (2024)
2024
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Tang, J., Chen, Z., Chen, X., Wang, T., Zeng, G., Liu, Z.: Lgm: Large multi-view gaussian model for high-resolution 3d content creation (2024)
2024
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Wada, Y., Kaneda, K., Saito, D., Sugiura, K.: Polos: Multimodal metric learning from human feedback for image captioning (2024)
2024
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Wu, T., Yang, G., Li, Z., Zhang, K., Liu, Z., Guibas, L., Lin, D., Wetzstein, G.: Gpt-4v(ision) is a human-aligned evaluator for text-to-3d generation (2024)
2024
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Zhu, Z., Zhao, H., He, H., Zhong, Y., Zhang, S., Guo, H., Chen, T., Zhang, W.: Diffusion models for reinforcement learning: A survey (2024)
2024
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