• Stars
    star
    80
  • Rank 404,329 (Top 8 %)
  • Language
    Python
  • Created over 5 years ago
  • Updated over 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A pytorch implementation of Progressive-GAN that is actually works, readable and simple to customize

More Repositories

1

FastGAN-pytorch

Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021
Python
601
star
2

Self-Supervised-Sketch-to-Image-Synthesis-PyTorch

The pytorch implementation for the paper "Self-Supervised Sketch-to-Image Synthesis" in AAAI-2021
Python
65
star
3

Differentiable-RGB-to-HSV-convertion-pytorch

A pytorch implementation that converts image RGB color space into HSV allowing differentiable back-propagate
Python
46
star
4

pytorch-IBGAN

A pytorch implementation of Information Bottleneck GAN
Python
28
star
5

Sketch2art-pytorch

The pytorch implementation of the paper: Sketch-to-Art: Synthesizing Stylized Art Images From Sketches
Python
11
star
6

OOGAN-pytorch

Pytorch implementation of the paper: OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
Python
6
star
7

WordGame

a simple word game, good for a group of friends play together
Swift
5
star
8

HomePlan

home furniture layout designer
Swift
4
star
9

Tossing

a decision-make helper
Swift
4
star
10

SlideView

A top slide navigator based on UIView
Swift
3
star
11

Running-Game

two weapon against two enemy,role have to jump to escape the pipe.allow player to add picture on the role,allow to share to social network,allow to modify the difficulty.
Swift
3
star
12

Outcome-Recorder

operate with both local data storage and cloud data management
Objective-C
3
star
13

3D_histogram

A matlab implementation that can easily return an 3D histogram of an input image in RGB color space.
MATLAB
3
star
14

caffe-weighted_softmax_loss_layer

Source files of a weighted_softmax_with_loss layer for latest version of caffe. Allow wild cards to be accepted as a bottom
C++
1
star