High-fidelity 3d gan inversion by pseudo-multi-view optimization

J Xie, H Ouyang, J Piao, C Lei… - Proceedings of the …, 2023 - openaccess.thecvf.com
We present a high-fidelity 3D generative adversarial network (GAN) inversion framework
that can synthesize photo-realistic novel views while preserving specific details of the input …
被引用次数：54 相关文章

High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization

J Xie, H Ouyang, J Piao, C Lei, Q Chen - arXiv preprint arXiv:2211.15662, 2022 - arxiv.org
We present a high-fidelity 3D generative adversarial network (GAN) inversion framework
that can synthesize photo-realistic novel views while preserving specific details of the input …

High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization

J Xie, H Ouyang, J Piao, C Lei, Q Chen - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
We present a high-fidelity 3D generative adversarial network (GAN) inversion framework
that can synthesize photo-realistic novel views while preserving specific details of the input …

High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization

J Xie, H Ouyang, J Piao, C Lei… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
We present a high-fidelity 3D generative adversarial network (GAN) inversion framework
that can synthesize photorealistic novel views while preserving specific details of the input …

High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization

J Xie, H Ouyang, J Piao, C Lei, Q Chen - 2023 IEEE/CVF Conference …, 2023 - computer.org
We present a high-fidelity 3D generative adversarial network (GAN) inversion framework
that can synthesize photorealistic novel views while preserving specific details of the input …