文件名称：Python-研究DeepNude使用的图像生成和图像修复相关的技术和论文
文件大小：20.26MB
文件格式：ZIP
更新时间：2022-08-31 01:54:39
Python开发-机器学习
Research techniques and papers related to image generation and image restoration used by DeepNude. 研究DeepNude使用的图像生成和图像修复相关的技术和论文。
【文件预览】：
DeepNude-an-Image-to-Image-technology-master
----paper_images()
--------2017_Phillip_pix2pix_examples.jpg(469KB)
--------2017_Phillip_pix2pix_examples_edges2cats.png(86KB)
--------2018_NVIDIA_Pix2PixHD_example.png(252KB)
--------Image2Image_logo.png(121KB)
--------2018_NVIDIA_Image_Inpainting_examples.png(187KB)
--------2017_Zhu_CycleGAN_examples_horse2zebra.gif(7.33MB)
--------2017_Zhu_CycleGAN_examples.jpg(554KB)
--------2019_NVIDIA_StyleGAN_example.png(505KB)
--------Image_Inpainting(NVIDIA_2018).mp4(4.35MB)
--------2018_NVIDIA_Pix2PixHD_example_2.png(139KB)
----Pix2Pix()
--------inference_by_conditional_adversarial_model.py(3KB)
--------README.md(4KB)
--------conditional_adversarial_model.py(5KB)
--------dataset_utils.py(6KB)
--------edges2shoes_example()
--------train_conditional_adversarial_model.py(5KB)
----README.md(17KB)
----DeepNude_software_itself()
--------color.py(81B)
--------README.md(1KB)
--------DeepNode_4.png(138KB)
--------DeepNode_3.png(18KB)
--------DeepNode_2.png(179KB)
--------deepnude_logo.png(25KB)
--------libsqld.py(31B)
--------DeepNode_1.png(17KB)
--------DeepNode_0.png(11KB)
----Neural_style_transfer()
--------fix_produce_image.py(2KB)
--------README.md(3KB)
--------image_classifier_VGG19_model.py(2KB)
--------AB1.png(521KB)
--------style_transfer_example.png(934KB)
--------image_style_transfer_model.py(4KB)
--------A1.png(545KB)
--------train_and_inference_by_image_transfer_model.py(5KB)
--------B1.png(431KB)
----DeepFakes()
--------README.md(1KB)
----DCGAN()
--------dcgan_model.py(4KB)
--------README.md(2KB)
--------img_align_celeba_example()
--------inference_by_dcgan_model.py(2KB)
--------gan2.png(213KB)
--------train_dcgan_model.py(6KB)
--------face_generations_by_Face_DCGAN.png(592KB)
--------dataset_utils.py(2KB)
----Variational_Autoencoder()
--------README.md(3KB)
--------train_vae_model.py(4KB)
--------vae_model.py(3KB)
--------inference_by_vae_model.py(2KB)
--------VQ-VAE-2_example.png(610KB)
--------dataset_utils.py(2KB)
--------VAE_model.png(48KB)
----CycleGAN()
--------cyclegan_model.py(9KB)
--------README.md(5KB)
--------apple2orange_example()
--------train_cyclegan_model.py(7KB)
--------inference_by_cyclegan_model.py(5KB)
--------dataset_utils.py(9KB)
----NSFW()
--------README.md(2KB)
--------NSFW_JS_demo.png(380KB)
----Future()
--------README.md(3KB)
----GAN_History()
--------README.md(1KB)
--------2014-2019_GAN_Map.png(1.09MB)
--------2014-2019_GAN_Face_Generation.jpg(68KB)