Fetching the paper…
Reading the bibliography…
Most text-to-3D generators build upon off-the-shelf text-to-image models trained on billions of images.
Admissibile kernel estimators of a multivariate density
Cline, D. B. H · 1988
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
Wang, Z., Simoncelli, E., and Bovik, A · 2003
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Simonyan, K. and Zisserman, A · 2015
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R., Isola, P., Efros, A. A., Shechtman, E., and Wang, O · 2018
Earlier work this paper cites.
NeRF: Representing scenes as neural radiance fields for view synthesis
Mildenhall, B., Srinivasan, P. P., Tancik, M., Barron, J. T., Ramamoorthi, R., and Ng, R · 2020
Earlier work this paper cites.
Emerging properties in self-supervised vision transformers
Caron, M., Touvron, H., Misra, I., Jégou, H., Mairal, J., Bojanowski, P., and Joulin, A · 2021
Earlier work this paper cites.
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., Krueger, G., and Sutskever, I · 2021
Earlier work this paper cites.
Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
Shen, T., Gao, J., Yin, K., Liu, M.-Y., and Fidler, S · 2021
Earlier work this paper cites.
TensoRF: Tensorial radiance fields
Chen, A., Xu, Z., Geiger, A., Yu, J., and Su, H · 2022
Earlier work this paper cites.
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
Earlier work this paper cites.
Zero-shot text-guided object generation with dream fields
Jain, A., Mildenhall, B., Barron, J. T., Abbeel, P., and Poole, B · 2022
Earlier work this paper cites.
Magic3D: High-resolution text-to-3d content creation
Lin, C., Gao, J., Tang, L., Takikawa, T., Zeng, X., Huang, X., Kreis, K., Fidler, S., Liu, M., and Lin, T · 2022
Earlier work this paper cites.
DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps
Lu, C., Zhou, Y., Bao, F., Chen, J., Li, C., and Zhu, J · 2022
Earlier work this paper cites.
Highly accurate dichotomous image segmentation
Qin, X., Dai, H., Hu, X., Fan, D.-P., Shao, L., and Gool, L. V · 2022
Earlier work this paper cites.
Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Sun, C., Sun, M., and Chen, H · 2022
Earlier work this paper cites.
Emu: Enhancing image generation models using photogenic needles in a haystack
Dai, X., Hou, J., Ma, C., Tsai, S. S., Wang, J., Wang, R., Zhang, P., Vandenhende, S., Wang, X., Dubey, A., Yu, M., Kadian, A., Radenovic, F., Mahajan, D., Li, K., Zhao, Y., Petrovic, V., Singh, M. K., Motwani, S., Wen, Y., Song, Y., Sumbaly, R., Ramanathan, V., He, Z., Vajda, P., and Parikh, D · 2023
Earlier work this paper cites.
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
Cited alongside, same era.
Emu video: Factorizing text-to-video generation by explicit image conditioning
Girdhar, R., Singh, M., Brown, A., Duval, Q., Azadi, S., Rambhatla, S. S., Shah, A., Yin, X., Parikh, D., and Misra, I · 2023
Cited alongside, same era.
3DGen: Triplane latent diffusion for textured mesh generation
Gupta, A., Xiong, W., Nie, Y., Jones, I., and Oguz, B · 2023
Cited alongside, same era.
Openlrm: Open-source large reconstruction models
He, Z. and Wang, T · 2023
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
Magic123: One image to high-quality 3D object generation using both 2D and 3D diffusion priors
Qian, G., Mai, J., Hamdi, A., Ren, J., Siarohin, A., Li, B., Lee, H., Skorokhodov, I., Wonka, P., Tulyakov, S., and Ghanem, B · 2023
Later among the works it cites.
Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to-3d
Qiu, L., Chen, G., Gu, X., Zuo, Q., Xu, M., Wu, Y., Yuan, W., Dong, Z., Bo, L., and Han, X · 2023
Later among the works it cites.
DreamCraft3D: Hierarchical 3D generation with bootstrapped diffusion prior
Sun, J., Zhang, B., Shao, R., Wang, L., Liu, W., Xie, Z., and Liu, Y · 2023
Later among the works it cites.
Viewset diffusion: (0-)image-conditioned 3D generative models from 2D data
Szymanowicz, S., Rupprecht, C., and Vedaldi, A · 2023
Later among the works it cites.
Diffusion with forward models: Solving stochastic inverse problems without direct supervision
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Dreamtime: An improved optimization strategy for text-to-3D content creation
Huang, Y., Wang, J., Shi, Y., Qi, X., Zha, Z., and Zhang, L · 2023
Cited alongside, same era.
Katzir, O., Patashnik, O., Cohen-Or, D., and Lischinski, D · 2023
Cited alongside, same era.
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Kerbl, B., Kopanas, G., Leimkühler, T., and Drettakis, G · 2023
Cited alongside, same era.
Collaborative score distillation for consistent visual synthesis
Kim, S., Lee, K., Choi, J. S., Jeong, J., Sohn, K., and Shin, J · 2023
Cited alongside, same era.
ViVid-1-to-3: Novel view synthesis with video diffusion models
Kwak, J., Dong, E., Jin, Y., Ko, H., Mahajan, S., and Yi, K. M · 2023
Cited alongside, same era.
Instant3D: Fast text-to-3D with sparse-view generation and large reconstruction model
Li, J., Tan, H., Zhang, K., Xu, Z., Luan, F., Xu, Y., Hong, Y., Sunkavalli, K., Shakhnarovich, G., and Bi, S · 2023
Cited alongside, same era.
Wonder3D: Single image to 3D using cross-domain diffusion
Long, X., Guo, Y., Lin, C., Liu, Y., Dou, Z., Liu, L., Ma, Y., Zhang, S., Habermann, M., Theobalt, C., and Wang, W · 2023
Cited alongside, same era.
Tewari, A., Yin, T., Cazenavette, G., Rezchikov, S., Tenenbaum, J. B., Durand, F., Freeman, W. T., and Sitzmann, V · 2023
Later among the works it cites.
Cad: Photorealistic 3d generation via adversarial distillation
Wan, Z., Paschalidou, D., Huang, I., Liu, H., Shen, B., Xiang, X., Liao, J., and Guibas, L · 2023
Later among the works it cites.
ImageDream: Image-prompt multi-view diffusion for 3D generation
Wang, P. and Shi, Y · 2023
Later among the works it cites.
Consistent123: Improve consistency for one image to 3d object synthesis
Weng, H., Yang, T., Wang, J., Li, Y., Zhang, T., Chen, C. L. P., and Zhang, L · 2023
Later among the works it cites.
Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model, 2023
Xu, Y., Tan, H., Luan, F., Bi, S., Wang, P., Li, J., Shi, Z., Sunkavalli, K., Wetzstein, G., Xu, Z., and Zhang, K · 2023
Later among the works it cites.
Consistnet: Enforcing 3d consistency for multi-view images diffusion
Yang, J., Cheng, Z., Duan, Y., Ji, P., and Li, H · 2023
Later among the works it cites.
Gaussiandreamer: Fast generation from text to 3d gaussian splatting with point cloud priors
Yi, T., Fang, J., Wu, G., Xie, L., Zhang, X., Liu, W., Tian, Q., and Wang, X · 2023
Later among the works it cites.
HiFi-123: Towards high-fidelity one image to 3d content generation
Yu, W., Yuan, L., Cao, Y., Gao, X., Li, X., Quan, L., Shan, Y., and Tian, Y · 2023
Later among the works it cites.
HiFA: High-fidelity text-to-3D with advanced diffusion guidance
Zhu, J. and Zhuang, P · 2023
Later among the works it cites.
HexaGen3D: Stablediffusion is just one step away from fast and diverse text-to-3D generation
Mercier, A., Nakhli, R., Reddy, M., and Yasarla, R · 2024
Closest in time.
AGG: Amortized generative 3d gaussians for single image to 3d
Xu, D., Yuan, Y., Mardani, M., Liu, S., Song, J., Wang, Z., and Vahda, A · 2024
Closest in time.