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Text-to-3D form plays a crucial role in creating editable 3D scenes for AR/VR.
Ray tracing volume densities
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Practical physically-based shading in film and game production
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
J. T. Barron, B. Mildenhall, M. Tancik, P. Hedman, R. Martin-Brualla, and P. P. Srinivasan · 2021
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
J. T. Barron, B. Mildenhall, M. Tancik, P. Hedman, R. Martin-Brualla, and P. P. Srinivasan · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
J. T. Barron, B. Mildenhall, D. Verbin, P. P. Srinivasan, and P. Hedman · 2021
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Dynamic view synthesis from dynamic monocular video
C. Gao, A. Saraf, J. Kopf, and J.-B. Huang · 2021
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Autoint: Automatic integration for fast neural volume rendering
D. B. Lindell, J. N. Martel, and G. Wetzstein · 2021
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Neural actor: Neural free-view synthesis of human actors with pose control
L. Liu, M. Habermann, V. Rudnev, K. Sarkar, J. Gu, and C. Theobalt · 2021
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Improved denoising diffusion probabilistic models
A. Q. Nichol and P. Dhariwal · 2021
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Neural scene graphs for dynamic scenes
J. Ost, F. Mannan, N. Thuerey, J. Knodt, and F. Heide · 2021
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D-nerf: Neural radiance fields for dynamic scenes
A. Pumarola, E. Corona, G. Pons-Moll, and F. Moreno-Noguer · 2021
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Learning transferable visual models from natural language supervision
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Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
T. Shen, J. Gao, K. Yin, M.-Y. Liu, and S. Fidler · 2021
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Nerv: Neural reflectance and visibility fields for relighting and view synthesis
P. P. Srinivasan, B. Deng, X. Zhang, M. Tancik, B. Mildenhall, and J. T. Barron · 2021
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Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
E. Tretschk, A. Tewari, V. Golyanik, M. Zollhöfer, C. Lassner, and C. Theobalt · 2021
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Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
P. Wang, L. Liu, Y. Liu, C. Theobalt, T. Komura, and W. Wang · 2021
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Space-time neural irradiance fields for free-viewpoint video
W. Xian, J.-B. Huang, J. Kopf, and C. Kim · 2021
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Learning object-compositional neural radiance field for editable scene rendering
B. Yang, Y. Zhang, Y. Xu, Y. Li, H. Zhou, H. Bao, G. Zhang, and Z. Cui · 2021
Cited alongside, same era.
Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
X. Zhang, P. P. Srinivasan, B. Deng, P. Debevec, W. T. Freeman, and J. T. Barron · 2021
Cited alongside, same era.
In-place scene labelling and understanding with implicit scene representation
S. Zhi, T. Laidlow, S. Leutenegger, and A. J. Davison · 2021
Cited alongside, same era.
Neural rgb-d surface reconstruction
D. Azinović, R. Martin-Brualla, D. B. Goldman, M. Nießner, and J. Thies · 2022
Cited alongside, same era.
Fov-nerf: Foveated neural radiance fields for virtual reality, 2022
N. Deng, Z. He, J. Ye, B. Duinkharjav, P. Chakravarthula, X. Yang, and Q. Sun · 2022
Cited alongside, same era.
Get3d: A generative model of high quality 3d textured shapes learned from images
Ref-nerf: Structured view-dependent appearance for neural radiance fields
D. Verbin, P. Hedman, B. Mildenhall, T. E. Zickler, J. T. Barron, and P. P. Srinivasan · 2022
Later among the works it cites.
Clip-nerf: Text-and-image driven manipulation of neural radiance fields
C. Wang, M. Chai, M. He, D. Chen, and J. Liao · 2022
Later among the works it cites.
Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation
H. Wang, X. Du, J. Li, R. A. Yeh, and G. Shakhnarovich · 2022
Later among the works it cites.
Object-compositional neural implicit surfaces
Q. Wu, X. Liu, Y. Chen, K. Li, C. Zheng, J. Cai, and J. Zheng · 2022
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Dream3d: Zero-shot text-to-3d synthesis using 3d shape prior and text-to-image diffusion models
J. Xu, X. Wang, W. Cheng, Y.-P. Cao, Y. Shan, X. Qie, and S. Gao · 2022
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J. Gao, T. Shen, Z. Wang, W. Chen, K. Yin, D. Li, O. Litany, Z. Gojcic, and S. Fidler · 2022
Cited alongside, same era.
Avatarclip: Zero-shot text-driven generation and animation of 3d avatars
F. Hong, M. Zhang, L. Pan, Z. Cai, L. Yang, and Z. Liu · 2022
Cited alongside, same era.
Zero-shot text-guided object generation with dream fields
A. Jain, B. Mildenhall, J. T. Barron, P. Abbeel, and B. Poole · 2022
Cited alongside, same era.
Understanding pure clip guidance for voxel grid nerf models
H.-H. Lee and A. X. Chang · 2022
Cited alongside, same era.
Rt-nerf: Real-time on-device neural radiance fields towards immersive ar/vr rendering, 2022
C. Li, S. Li, Y. Zhao, W. Zhu, and Y. Lin · 2022
Cited alongside, same era.
Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
J. Li, D. Li, C. Xiong, and S. Hoi · 2022
Cited alongside, same era.
Magic3d: High-resolution text-to-3d content creation
C.-H. Lin, J. Gao, L. Tang, T. Takikawa, X. Zeng, X. Huang, K. Kreis, S. Fidler, M.-Y. Liu, and T.-Y. Lin · 2022
Cited alongside, same era.
Y. Xu, M. Chai, Z. Shi, S. Peng, I. Skorokhodov, A. Siarohin, C. Yang, Y. Shen, H.-Y. Lee, B. Zhou, et al · 2022
Later among the works it cites.
Dynamic plenoctree for adaptive sampling refinement in explicit nerf
H. Bai, Y. Lin, Y. Chen, and L. Wang · 2023
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Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation
R. Chen, Y. Chen, N. Jiao, and K. Jia · 2023
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Set-the-scene: Global-local training for generating controllable nerf scenes
D. Cohen-Bar, E. Richardson, G. Metzer, R. Giryes, and D. Cohen-Or · 2023
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Sdf-3dgan: A 3d object generative method based on implicit signed distance function
L. Jiang, R. Ji, and L. Zhang · 2023
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Zero-shot image-to-image translation
G. Parmar, K. Kumar Singh, R. Zhang, Y. Li, J. Lu, and J.-Y. Zhu · 2023
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Dreambooth3d: Subject-driven text-to-3d generation
A. Raj, S. Kaza, B. Poole, M. Niemeyer, N. Ruiz, B. Mildenhall, S. Zada, K. Aberman, M. Rubinstein, J. Barron, et al · 2023
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Re-rend: Real-time rendering of nerfs across devices, 2023
S. Rojas, J. Zarzar, J. C. Perez, A. Sanakoyeu, A. Thabet, A. Pumarola, and B. Ghanem · 2023
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Imagen editor and editbench: Advancing and evaluating text-guided image inpainting
S. Wang, C. Saharia, C. Montgomery, J. Pont-Tuset, S. Noy, S. Pellegrini, Y. Onoe, S. Laszlo, D. J. Fleet, R. Soricut, et al · 2023
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Points-to-3d: Bridging the gap between sparse points and shape-controllable text-to-3d generation
C. Yu, Q. Zhou, J. Li, Z. Zhang, Z. Wang, and F. Wang · 2023
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Text-to-3d with classifier score distillation
X. Yu, Y.-C. Guo, Y. Li, D. Liang, S.-H. Zhang, and X. Qi · 2023
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Sine: Single image editing with text-to-image diffusion models
Z. Zhang, L. Han, A. Ghosh, D. N. Metaxas, and J. Ren · 2023
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Disentangled 3d scene generation with layout learning
D. Epstein, B. Poole, B. Mildenhall, A. A. Efros, and A. Holynski · 2024
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Connecting consistency distillation to score distillation for text-to-3d generation
Z. Li, M. Hu, Q. Zheng, and X. Jiang · 2024
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Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching
Y. Liang, X. Yang, J. Lin, H. Li, X. Xu, and Y. Chen · 2024
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Scaledreamer: Scalable text-to-3d synthesis with asynchronous score distillation
Z. Ma, Y. Wei, Y. Zhang, X. Zhu, Z. Lei, and L. Zhang · 2024
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Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Z. Wang, C. Lu, Y. Wang, F. Bao, C. Li, H. Su, and J. Zhu · 2024
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