Merge branch 'master' into patch-3

Author: sachit-menon

README.md

@@ -11,7 +11,6 @@ Table of Contents
 - [PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models](#pulse-self-supervised-photo-upsampling-via-latent-space-exploration-of-generative-models)
 - [Table of Contents](#table-of-contents)
   - [What does it do?](#what-does-it-do)
-  - [How do I use it?](#how-do-i-use-it)
   - [Usage](#usage)
     - [Prereqs](#prereqs)
     - [Data](#data)
@@ -21,13 +20,6 @@ Given a low-resolution input image, PULSE searches the outputs of a generative m
 
 ![Transformation Preview](./readme_resources/transformation.gif)
 
-## How do I use it?
-
-The easiest way to apply PULSE to your own images is with our interactive demo, found at https://colab.research.google.com/drive/1-cyGV0FoSrHcQSVq3gKOymGTMt0g63Xc?usp=sharing#sandboxMode=true. 
-
-If you want to try using this codebase, continue on.
-
-
 ## Usage
 
 The main file of interest for applying PULSE is `run.py`. A full list of arguments with descriptions can be found in that file; here we describe those relevant to getting started.
@@ -75,5 +67,3 @@ Once your data is appropriately formatted, all you need to do is
 python run.py
 ```
 Enjoy!
-
-*Contact both Sachit Menon and Alex Damian (sachit.menon@duke.edu and alexandru.damian@duke.edu) for questions regarding this work.*

stylegan.py

@@ -260,7 +260,7 @@ def __init__(self, channels, dlatent_size, use_wscale, use_noise, use_pixel_norm
             self.noise = None
         layers.append(('activation', activation_layer))
         if use_pixel_norm:
-            layers.append(('pixel_norm', PixelNorm()))
+            layers.append(('pixel_norm', PixelNormLayer()))
         if use_instance_norm:
             layers.append(('instance_norm', nn.InstanceNorm2d(channels)))