NeuralImageSynthesis Scale Control Examples
Images From The Research Paper's Code With NeuralImageSynthesis:
Examining the outputs produced by ScaleControl.ipynb:
Gatys' Scale Control code produce 3 different outputs, each follows a two step Multires process. I am not sure if these are 3 different ways of doing Scale Control, or if 1 or 2 of them are meant to showcase ways that don't work?
For each of the 3 options in the iPython script, I ran the code and generated the images. Each produced a low resolution 648x405 image and then a 1296x810 "hr" resolution image. Though the image names say that the first image has a resolution of 512px and the second image has a resolution of 1024px, which means there may be some else going on here (maybe downsampling?). I have included both images for each example, and they can be viewed in full in the Imgur link below each example.
Gatys' iPython code names the images with the parameters used to create them, and as such I have included the image file names.
"Stylemix images" are what Gatys calls the resulting combination style image made of both the coarse and fine style images.
low res and hr res: https://imgur.com/a/D7AcK
- File names:
low res:
cimg_cm_fig4_content.jpg_scimg_fig4_content.jpg_spimg_fig4_style2.jpg_simg_fig4_style3.jpg_pt_layer_relu2_1_sz_512_model_org_pad_sw_1.0E+03_cw_1.0E+00.jpg
hr:
cimg_cm_fig4_content.jpg_scimg_fig4_content.jpg_spimg_fig4_style2.jpg_simg_fig4_style3.jpg_pt_layer_relu2_1_hrpt_layer_relu4_1_sz_512_hrsz_1024_model_org_pad_sw_1.0E+03_cw_1.0E+00.jpg
iPython terminal output: https://gist.github.com/ProGamerGov/a613c42514b9059ebc8230d2c1cd0fd1
low res and hr res: https://imgur.com/a/oTB1k
- File names:
low res:
cimg_cm_fig4_content.jpg_scimg_fig4_content.jpg_spimg_fig4_style2.jpg_simg_fig4_style3.jpg_pt_layer_relu2_1_sz_512_model_norm_pad_sw_2.0E+08_cw_1.0E+05.jpg
hr res:
cimg_cm_fig4_content.jpg_scimg_fig4_content.jpg_spimg_fig4_style2.jpg_simg_fig4_style3.jpg_pt_layer_relu2_1_hrpt_layer_relu4_1_sz_512_hrsz_1024_model_norm_pad_sw_2.0E+08_cw_1.0E+05.jpg
iPython terminal output: https://gist.github.com/ProGamerGov/3d8f8ffdbde5f8ec69c46f3076fa3f2d
low res and hr res: https://imgur.com/a/LbqJQ
- File names:
low res:
cimg_cm_fig4_content.jpg_scimg_fig4_content.jpg_spimg_fig4_style2.jpg_simg_fig4_style3.jpg_pt_layer_relu2_1_sz_512_model_norm_pad_sw_2.0E+08_cw_1.0E+05_naive_scalemix.jpg
hr res:
cimg_cm_fig4_content.jpg_scimg_fig4_content.jpg_spimg_fig4_style2.jpg_simg_fig4_style3.jpg_pt_layer_relu2_1_sz_512_hrsz_1024_model_norm_pad_sw_2.0E+08_cw_1.0E+05_naive_scalemix.jpg
iPython terminal output: https://gist.github.com/ProGamerGov/71eda3b16793835bbe142d902c480fe7
Stylemix image: https://i.imgur.com/m7nRgKP.jpg
Name:
scimg_fig4_content.jpg_spimg_fig4_style2.jpg_simg_fig4_style3.jpg_hrpt_layer_relu4_1_hrsz_1024_model_norm_pad_ptw_1.0E+05.jpg
Stylemix image: https://i.imgur.com/XPt6N52.jpg
Name:
scimg_fig4_content.jpg_spimg_fig4_style2.jpg_simg_fig4_style3.jpg_pt_layer_relu2_1_sz_512_model_norm_pad_ptw_1.0E+05
Stylemix image: https://i.imgur.com/Vf3mg2n.jpg
Name:
spimg_fig4_style2.jpg_simg_fig4_style3.jpg_hrpt_layer_relu4_1_hrsz_1024_model_org_pad_ptw_1.0E+03.jpg
Stylemix image: https://i.imgur.com/c1ZNDoZ.jpg
Name:
spimg_fig4_style2.jpg_simg_fig4_style3.jpg_pt_layer_relu2_1_sz_512_model_org_pad_ptw_1.0E+03.jpg
Screenshot from the research paper:
