文件名称:pix2latent:代码为
文件大小:76.47MB
文件格式:ZIP
更新时间:2024-05-12 08:31:02
pytorch gan cma-es biggan stylegan2
pix2latent:将图像转换为生成模型的框架 反转图像的框架。 用于以下方面的代码库: 将图像转换并投影到类条件生成网络中| MIT CSAIL Adobe研究ECCV 2020(口头) @inproceedings{huh2020ganprojection, title = {Transforming and Projecting Images to Class-conditional Generative Networks} author = {Minyoung Huh and Richard Zhang, Jun-Yan Zhu and Sylvain Paris and Aaron Hertzmann}, booktitle = {ECCV}, year = {2020} } 注意[8/25/20]该代码库已从GAN-Transform
【文件预览】:
pix2latent-master
----assets()
--------biggan_comparison.png(1.87MB)
--------stylegan2_cars.png(4.94MB)
--------stylegan2_ffhq.png(6.62MB)
--------overview.gif(60.57MB)
----LICENSE(11KB)
----requirements.txt(253B)
----examples()
--------edit_biggan.py(2KB)
--------invert_biggan_basincma.py(4KB)
--------images()
--------invert_biggan_cma.py(4KB)
--------invert_biggan_hybrid_nevergrad.py(4KB)
--------invert_biggan_nevergrad.py(4KB)
--------invert_stylegan2_cars_hybrid_ng.py(4KB)
--------invert_biggan_with_transform.py(8KB)
--------invert_stylegan2_cars_basincma.py(4KB)
--------invert_stylegan2_cars_cma.py(3KB)
--------invert_biggan_adam.py(4KB)
--------invert_stylegan2_cars_ng.py(4KB)
--------invert_stylegan2_cars_adam.py(4KB)
----setup.py(515B)
----.gitignore(123B)
----pix2latent()
--------distribution.py(2KB)
--------model()
--------transform()
--------__init__.py(180B)
--------edit()
--------loss_functions.py(4KB)
--------variable_manager.py(7KB)
--------utils()
--------optimizer()
----README.md(7KB)
----.gitattributes(35B)