Papers with Code 아카이브
Synthetic Data Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 2
- 보존된 평가 기록
- 4
The generation of tabular data by any means possible.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JiaYunSong/Gan-for-Gem-Generation
https://github.com/JsFlo/Generative-Adversarial-Nets
https://github.com/LEEPEIQIN/EDSR
https://github.com/LWChen20/RCAN
https://github.com/LynnHo/DCGAN-LSGAN-WGAN-WGAN-GP-Tensorflow
https://github.com/MMadhatter/wgan-mindspore
https://github.com/Maghoumi/DeepNAG
https://github.com/MasoumehVahedi/GANs-Model
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Improved_Training_of_Wasserstein_GANs
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Wasserstein_GAN
https://github.com/Michael-T-McCann/simple-WGAN
https://github.com/MichalKacprzak99/reconstruction_particle_mass_spectra
https://github.com/MicroprocessorX069/Comparison-of-DC-GANS-and-SA-GANS
https://github.com/MiloszGrabski/WGAN-gp
https://github.com/Mind23-2/MindCode-90
https://github.com/MindCode-4/code-2/tree/main/qwen2
https://github.com/MindSpore-paper-code-2/code3/tree/main/WGAN_GP
https://github.com/MindSpore-paper-code-2/code400/tree/main/wgan_gp
https://github.com/MinkaiXu/SobolevWassersteinGAN
https://github.com/MiraPurkrabek/BBoxMaskPose
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data
https://github.com/Mohammad-Rahmdel/WassersteinGAN-Tensorflow
https://github.com/Mohammad-Rahmdel/WassersteinGAN-Tensorflow-
https://github.com/Mohanned-Elkholy/ResNet-GAN
https://github.com/NMADALI97/Learning-With-Wasserstein-Loss
https://github.com/Negus25/Mindspore-wgan_gp
https://github.com/NeuralVFX/wasserstein-gan
https://github.com/Sean-Hastings/WGAN
https://github.com/SimoneDutto/EDSR
https://github.com/Sinestro38/qosf-qgan
https://github.com/Slimnios/SaGess
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation
https://github.com/SongDark/generate_normal
https://github.com/TOPO-EPFL/CrossLoc-Benchmark-Datasets
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
https://github.com/TanyaChutani/WGAN-TF2
https://github.com/TanyaChutani/WGAN-TF2.x
https://github.com/Tejas-Nanaware/GAN-Anime-Characters
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.