Chinese-Landscape-Painting-Dataset
Landscape dataset
A dataset of high-quality traditional Chinese landscape paintings used to train a GAN model for generating original artwork.
Dataset used for WACV 2021 paper: "End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks"
468 stars
13 watching
79 forks
last commit: almost 6 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| Provides a 3D layout dataset and annotation tools for training and testing 3D layout models. | 27 | |
| Scripts to generate datasets for an image generation task using Generative Adversarial Networks and deep learning techniques | 37 | |
| A large dataset of human matting images and corresponding results for training person segmentation models. | 615 | |
| A dataset for training and fine-tuning large language models on Chinese text prompts. | 392 | |
| A large-scale human image dataset with rich annotations for various applications such as image generation, pose estimation, and attribute recognition. | 531 | |
| Provides code and data for a spatial decision-making tool | 12 | |
| A large dataset of 3D object and room layout annotations on RGB videos, designed to test automatic scene understanding methods. | 106 | |
| A comprehensive JSON-based repository of Chinese poetry and related texts, aiming to facilitate development of applications using these ancient texts. | 48,381 | |
| A dataset of title and abstract pairs from the ACL Anthology Network, used to train language generation models. | 19 | |
| Unsupervised feature learning by image inpainting using Generative Adversarial Networks (GANs) | 887 | |
| A labeled dataset for training object detection models in a virtual car environment | 45 | |
| A large dataset of synchronized audio, lyrics, and vocal notes created using machine learning | 351 | |
| A large dataset of 3D indoor scenes captured with RGB-D data and processed for use in machine learning applications | 674 | |
| This project aims to develop a generative model for 3D multi-object scenes using a novel network architecture inspired by auto-encoding and generative adversarial networks. | 103 | |
| A collection of detailed pixel-wise annotations for fashion images used in human parsing research. | 213 |