The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
Open accessAbstract
We have witnessed rapid progress on 3D-aware image synthesis, leveraging recent advances in generative visual models and neural rendering. Existing approaches how-ever fall short in two ways: first, they may lack an under-lying 3D representation or rely on view-inconsistent rendering, hence synthesizing images that are not multi-view consistent; second, they often depend upon representation network architectures that are not expressive enough, and their results thus lack in image quality. We propose a novel generative model, named Periodic Implicit Generative Adversarial Networks (π-GAN or pi-GAN), for high-quality 3D-aware image synthesis. π-GAN leverages neural representations with periodic activation functions and volumetric rendering to represent scenes as view-consistent radiance fields. The proposed approach obtains state-of-the-art results for 3D-aware image synthesis with multiple real and synthetic datasets.
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Cites
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
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Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Barron, J. T., Mildenhall, B., Tancik, M., Hedman, P., Martin-Brualla, R., & Srinivasan, P. P. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00580 · Cited by 1,921
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
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Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Metzer, G., Richardson, E., Patashnik, O., Giryes, R., & Cohen-Or, D. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.01218 · Cited by 336
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
Skorokhodov, I., Tulyakov, S., & Elhoseiny, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.00361 · Cited by 199
Neural Articulated Radiance Field
Noguchi, A., Sun, X., Lin, S., & Harada, T. (2021) · arXiv · doi:10.48550/arxiv.2104.03110 · Cited by 177
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
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A Survey on Deep Generative 3D-aware Image Synthesis
Xia, W., & Xue, J.-H. (2024) · ACM Computing Surveys · doi:10.1145/3626193 · Cited by 20
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Metadata
- Authors
- Chan, E. R., Monteiro, M., Kellnhofer, P., Wu, J., & Wetzstein, G.
- Venue
- 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2021-06
- Pages
- 5795-5805
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W3107517429
- Cited by
- 689
- References
- 64
- FWCI
- 49.64
- Type
- conference paper
- Language
- en
- Open access
- green
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