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Access to high-quality and diverse 3D articulated digital human assets is crucial in various applications, ranging from virtual reality to social platforms.
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
J. P. Lewis, M. Cordner, and N. Fong · 2000
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2d human pose estimation: New benchmark and state of the art analysis
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele · 2014
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Smpl: A skinned multi-person linear model
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M. J. Black · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Z. Liu, P. Luo, S. Qiu, X. Wang, and X. Tang · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
J. Wu, C. Zhang, T. Xue, B. Freeman, and J. Tenenbaum · 2016
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3D shape induction from 2D views of multiple objects
M. Gadelha, S. Maji, and R. Wang · 2017
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2017
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Stereo magnification: Learning view synthesis using multiplane images
T. Zhou, R. Tucker, J. Flynn, G. Fyffe, and N. Snavely · 2018
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Visual object networks: image generation with disentangled 3D representations
J.-Y. Zhu, Z. Zhang, C. Zhang, J. Wu, A. Torralba, J. B. Tenenbaum, and W. T. Freeman · 2018
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Escaping Plato’s cave: 3D shape from adversarial rendering
P. Henzler, N. J. Mitra, and T. Ritschel · 2019
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
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HoloGAN: Unsupervised learning of 3d representations from natural images
T. Nguyen-Phuoc, C. Li, L. Theis, C. Richardt, and Y.-L. Yang · 2019
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Expressive body capture: 3d hands, face, and body from a single image
G. Pavlakos, V. Choutas, N. Ghorbani, T. Bolkart, A. A. A. Osman, D. Tzionas, and M. J. Black · 2019
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Unsupervised generative 3D shape learning from natural images
A. Szabó, G. Meishvili, and P. Favaro · 2019
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Analyzing and improving the image quality of StyleGAN
T. Karras, S. Laine, M. Aittala, J. Hellsten, J. Lehtinen, and T. Aila · 2020
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Modular primitives for high-performance differentiable rendering
S. Laine, J. Hellsten, T. Karras, Y. Seol, J. Lehtinen, and T. Aila · 2020
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Towards unsupervised learning of generative models for 3D controllable image synthesis
Y. Liao, K. Schwarz, L. Mescheder, and A. Geiger · 2020
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BlockGAN: Learning 3D object-aware scene representations from unlabelled images
T. Nguyen-Phuoc, C. Richardt, L. Mai, Y.-L. Yang, and N. Mitra · 2020
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GRAF: Generative radiance fields for 3d-aware image synthesis
K. Schwarz, Y. Liao, M. Niemeyer, and A. Geiger · 2020
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Single-view view synthesis with multiplane images
R. Tucker and N. Snavely · 2020
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pi-GAN: Periodic implicit generative adversarial networks for 3d-aware image synthesis
E. Chan, M. Monteiro, P. Kellnhofer, J. Wu, and G. Wetzstein · 2021
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Unconstrained scene generation with locally conditioned radiance fields
T. DeVries, M. A. Bautista, N. Srivastava, G. W. Taylor, and J. M. Susskind · 2021
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Stylepeople: A generative model of fullbody human avatars
A. Grigorev, K. Iskakov, A. Ianina, R. Bashirov, I. Zakharkin, A. Vakhitov, and V. Lempitsky · 2021
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GANcraft: Unsupervised 3D neural rendering of minecraft worlds
Z. Hao, A. Mallya, S. Belongie, and M.-Y. Liu · 2021
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Alias-free generative adversarial networks
T. Karras, M. Aittala, S. Laine, E. Härkönen, J. Hellsten, J. Lehtinen, and T. Aila · 2021
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Pulsar: Efficient sphere-based neural rendering
C. Lassner and M. Zollhofer · 2021
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
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Unsupervised learning of efficient geometry-aware neural articulated representations
A. Noguchi, X. Sun, S. Lin, and T. Harada · 2022
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Stylesdf: High-resolution 3d-consistent image and geometry generation
R. Or-El, X. Luo, M. Shan, E. Shechtman, J. J. Park, and I. Kemelmacher-Shlizerman · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
B. Poole, A. Jain, J. T. Barron, and B. Mildenhall · 2022
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Voxgraf: Fast 3d-aware image synthesis with sparse voxel grids
K. Schwarz, A. Sauer, M. Niemeyer, Y. Liao, and A. Geiger · 2022
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Learn to dance with aist++: Music conditioned 3d dance generation, 2021
R. Li, S. Yang, D. A. Ross, and A. Kanazawa · 2021
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GIRAFFE: Representing scenes as compositional generative neural feature fields
M. Niemeyer and A. Geiger · 2021
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A shading-guided generative implicit model for shape-accurate 3d-aware image synthesis
X. Pan, X. Xu, C. C. Loy, C. Theobalt, and B. Dai · 2021
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Cips-3d: A 3d-aware generator of gans based on conditionally-independent pixel synthesis
P. Zhou, L. Xie, B. Ni, and Q. Tian · 2021
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ClipFace: Text-guided Editing of Textured 3D Morphable Models
S. Aneja, J. Thies, A. Dai, and M. Nießner · 2022
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Gaudi: A neural architect for immersive 3d scene generation
M. A. Bautista, P. Guo, S. Abnar, W. Talbott, A. Toshev, Z. Chen, L. Dinh, S. Zhai, H. Goh, D. Ulbricht, et al · 2022
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3d-aware indoor scene synthesis with depth priors
Z. Shi, Y. Shen, J. Zhu, D.-Y. Yeung, and Q. Chen · 2022
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Epigraf: Rethinking training of 3d gans
I. Skorokhodov, S. Tulyakov, Y. Wang, and P. Wonka · 2022
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Singraf: Learning a 3d generative radiance field for a single scene
M. Son, J. J. Park, L. Guibas, and G. Wetzstein · 2022
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Fenerf: Face editing in neural radiance fields
J. Sun, X. Wang, Y. Zhang, X. Li, Q. Zhang, Y. Liu, and J. Wang · 2022
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Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation
H. Wang, X. Du, J. Li, R. A. Yeh, and G. Shakhnarovich · 2022
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Gram-hd: 3d-consistent image generation at high resolution with generative radiance manifolds
J. Xiang, J. Yang, Y. Deng, and X. Tong · 2022
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Giraffe hd: A high-resolution 3d-aware generative model
Y. Xue, Y. Li, K. K. Singh, and Y. J. Lee · 2022
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3dhumangan: Towards photo-realistic 3d-aware human image generation
Z. Yang, S. Li, W. Wu, and B. Dai · 2022
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Generative multiplane images: Making a 2d gan 3d-aware
X. Zhao, F. Ma, D. Güera, Z. Ren, A. G. Schwing, and A. Colburn · 2022
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Panohead: Geometry-aware 3d full-head synthesis in 360
S. An, H. Xu, Y. Shi, G. Song, U. Ogras, and L. Luo · 2023
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Dreamavatar: Text-and-shape guided 3d human avatar generation via diffusion models, 2023
Y. Cao, Y.-P. Cao, K. Han, Y. Shan, and K.-Y. K. Wong · 2023
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EVA3d: Compositional 3d human generation from 2d image collections
F. Hong, Z. Chen, Y. LAN, L. Pan, and Z. Liu · 2023
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Humangen: Generating human radiance fields with explicit priors
S. Jiang, H. Jiang, Z. Wang, H. Luo, W. Chen, and L. Xu · 2023
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3d neural field generation using triplane diffusion
J. R. Shue, E. R. Chan, R. Po, Z. Ankner, J. Wu, and G. Wetzstein · 2023
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Next3d: Generative neural texture rasterization for 3d-aware head avatars
J. Sun, X. Wang, L. Wang, X. Li, Y. Zhang, H. Zhang, and Y. Liu · 2023
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