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Recent work has shown the possibility of training generative models of 3D content from 2D image collections on small datasets corresponding to a single object class, such as human faces, animal faces, or cars.
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An image is worth 16x16 words: Transformers for image recognition at scale
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Efficient geometry-aware 3D generative adversarial networks
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Cogview: Mastering text-to-image generation via transformers
M. Ding, Z. Yang, W. Hong, W. Zheng, C. Zhou, D. Yin, J. Lin, X. Zou, Z. Shao, H. Yang, et al · 2021
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Taming transformers for high-resolution image synthesis
P. Esser, R. Rombach, and B. Ommer · 2021
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Stylenerf: A style-based 3d-aware generator for high-resolution image synthesis
J. Gu, L. Liu, P. Wang, and C. Theobalt · 2021
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Nerf-vae: A geometry aware 3d scene generative model
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Giraffe: Representing scenes as compositional generative neural feature fields
M. Niemeyer and A. Geiger · 2021
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Hierarchical text-conditional image generation with clip latents
A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen · 2022
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Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
R. Ranftl, K. Lasinger, D. Hafner, K. Schindler, and V. Koltun · 2022
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Lolnerf: Learn from one look, 2022
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Photorealistic text-to-image diffusion models with deep language understanding, 2022
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A. Sauer, K. Schwarz, and A. Geiger · 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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Disentangled3d: Learning a 3d generative model with disentangled geometry and appearance from monocular images
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Giraffe hd: A high-resolution 3d-aware generative model
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Scaling autoregressive models for content-rich text-to-image generation, 2022
J. Yu, Y. Xu, J. Y. Koh, T. Luong, G. Baid, Z. Wang, V. Vasudevan, A. Ku, Y. Yang, B. K. Ayan, B. Hutchinson, W. Han, Z. Parekh, X. Li, H. Zhang, J. Baldridge, and Y. Wu · 2022
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