文件名称：FactorVAE:通过分解分解提出的FactorVAE的Pytorch实现（http
文件大小：7.48MB
文件格式：ZIP
更新时间：2024-05-29 19:23:23
chairs-dataset vae unsupervised-learning beta-vae celeba
因子因子 由Factorising，Kim等人在Disentangling中提出的FactorVAE的Pytorch实现（ ） 依存关系 python 3.6.4 pytorch 0.4.0 (or check pytorch-0.3.1 branch for pytorch 0.3.1) visdom tqdm 数据集 2D Shapes（dsprites）数据集 sh scripts/prepare_data.sh dsprites 3D Chairs数据集 sh scripts/prepare_data.sh 3DChairs CelebA数据集（） # first download img_align_celeba.zip and put in data directory like below └── data └── img_align_celeba.zip # t
【文件预览】：
FactorVAE-master
----LICENSE(1KB)
----utils.py(1KB)
----scripts()
--------run_celeba.sh(482B)
--------run_3dchairs.sh(484B)
--------run_dsprites_gamma10.sh(483B)
--------prepare_data.sh(1KB)
--------run_dsprites_gamma6p4.sh(484B)
----README.md(3KB)
----dataset.py(3KB)
----ops.py(569B)
----main.py(3KB)
----misc()
--------CelebA_fixed_1_850000.gif(401KB)
--------CelebA_traverse_850000.png(3.76MB)
--------CelebA_fixed_2_850000.gif(383KB)
--------2DShapes_fixed_square_gamma6p4_700000.gif(69KB)
--------3DChairs_traverse_1000000.png(712KB)
--------2DShapes_fixed_heart_gamma10_1000000.gif(61KB)
--------CelebA_fixed_3_850000.gif(380KB)
--------2DShapes_fixed_ellipse_gamma10_1000000.gif(67KB)
--------CelebA_fixed_4_850000.gif(375KB)
--------2DShapes_random_img_gamma10_1000000.gif(72KB)
--------2DShapes_reconstruction_gamma6p4_700000.jpg(30KB)
--------CelebA_reconstruction_850000.jpg(938KB)
--------2DShapes_fixed_heart_gamma6p4_700000.gif(61KB)
--------2DShapes_fixed_ellipse_gamma6p4_700000.gif(64KB)
--------2DShapes_random_img_gamma6p4_700000.gif(67KB)
--------3DChairs_reconstruction_1000000.jpg(155KB)
--------2DShapes_fixed_square_gamma10_1000000.gif(73KB)
----model.py(7KB)
----solver.py(17KB)