# alicex2020/Chinese-Landscape-Painting-Dataset

<https://repo.masters-masters.com/en/repos/alicex2020/Chinese-Landscape-Painting-Dataset>

[Home](https://repo.masters-masters.com/en) › [alicex2020](https://repo.masters-masters.com/en/owners/alicex2020) › [Chinese-Landscape-Painting-Dataset](https://repo.masters-masters.com/en/repos/alicex2020/Chinese-Landscape-Painting-Dataset)

alicex2020/Chinese-Landscape-Painting-Dataset has 504 stars on GitHub. Its RepoMasters card: Alpha tier. Dataset used for WACV 2021 paper: "End-to-End Chinese…

| Field | Value |
| --- | --- |
| Owner | [alicex2020](https://repo.masters-masters.com/en/owners/alicex2020) |
| Stars | 504 |
| Forks | 78 |
| Language | No language |
| License | None |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [alicex2020/Chinese-Landscape-Painting-Dataset](https://github.com/alicex2020/Chinese-Landscape-Painting-Dataset) |

## Repository

Dataset used for WACV 2021 paper: "End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.