GINA-3D: Learning to Generate Implicit Neural Assets in the Wild-Reference-Cited by-同舟云学术

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GINA-3D: Learning to Generate Implicit Neural Assets in the Wild

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Shen Bokui¹,Yan Xinchen²,Qi Charles R.²,Najibi Mahyar²,Deng Boyang¹,Guibas Leonidas³,Zhou Yin²,Anguelov Dragomir²

Affiliation:

1. Stanford University

2. Waymo LLC

3. Google

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205286.pdf?arnumber=10205286

Reference152 articles.

1. A Style-Based Generator Architecture for Generative Adversarial Networks

2. Large-scale celebfaces attributes (celeba) dataset;liu;Retrieved August,2018

3. Neural discrete representation learning;van;NeurIPS,0

4. StarGAN v2: Diverse Image Synthesis for Multiple Domains

5. Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop;yu;ArXiv Preprint,2015

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