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Read here: https://machinelearningmastery.com/how-to-develop-a-conditional-generative-adversarial-network-from-scratch/
The idea is that each training example is associated with a class label so th…
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IMO,there are tow ways to calculate Inception score of conditional GANs.
1. For every "condition", calculate a IS and Average them.
2. Sample "condition" from "real condition distribution" and gen…
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Implement a section of a BarlowTwins/VICReg pretrained encoder by a conditional GAN.
```
x : pulse ------fibration------------> E(x) : code
G(y') : pulse
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Do you have any plans for progressive growing of conditional gans, whose input will be image, and then we pass it through an encoder and we can regard it as normal gan whose input is noise.
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Description:
- To create a usable Tibetan font, we required a set of glyphs, till now we have been extracting the glyphs from Pecha images using Google OCR or data in OPF.
- These methods could not e…
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Is it possible to project images using a class-conditional GAN in this repo? Looking at the code, there doesn't seem to be support for this.
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## 一言でいうと
画像生成について、単に生成するだけでなく、クラスの識別をさせる補助的なタスクをさせることで、識別性能(=解像度)を上げることができたという話。
研究内容はもちろんだが、画像生成について「識別性(=解像度)」と「多様性」という評価軸が設定されていて、この点は今後意識が必要と感じた
### 論文リンク
https://arxiv.org/abs/1610.095…
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### 論文へのリンク
[[arXiv:2003.08936] GAN Compression: Efficient Architectures for Interactive Conditional GANs](https://arxiv.org/abs/2003.08936)
### 著者・所属機関
Muyang Li, Ji Lin, Yaoyao Ding, Zhijia…
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## Issue Description
I run a scrip performing a series of operations to test the accuracy and privacy of two of the available data synthesis methods: DPGAN vs PATECTGAN. (script : `run_comparison.py`…
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write the outlines in the following format:
# Introduction
* introduce classification task with different data settings ordinary setting, weak supervision, noisy label, and complementary label l…