generative_inpainting
generative-inpainting-pytorch
| generative_inpainting | generative-inpainting-pytorch | |
|---|---|---|
| 2 | 1 | |
| 3,155 | 460 | |
| - | - | |
| 0.0 | 1.8 | |
| over 2 years ago | over 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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generative_inpainting
- after instantiating a graph, data or node needs to pass before it loads the parameters?
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how to make older tensorflow work properly with eager execution?
tried to run https://github.com/JiahuiYu/generative_inpainting but code was coded in tensorflow 1.x
generative-inpainting-pytorch
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How to turn a generator into a classifier?
I'm looking into this code: https://github.com/daa233/generative-inpainting-pytorch/blob/master/model/networks.py How can I turn the generator into a classifier?
What are some alternatives?
data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
Put-In-Context - Putting Visual Object Recognition in Context
co-mod-gan - [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
ALAE - [CVPR2020] Adversarial Latent Autoencoders
Bringing-Old-Photos-Back-to-Life - Bringing Old Photo Back to Life (CVPR 2020 oral)
PEN-Net-for-Inpainting - [CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting