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您正在阅读 MMEditing 0.x。 MMEditing 0.x 会在 2022 年末开始逐步停止维护,建议您及时升级到 MMEditing 1.0 版本,享受由 OpenMMLab 2.0 带来的更多新特性和更佳的性能表现。阅读 MMEditing 1.0 的发版日志代码文档 以了解更多。

总览

  • 论文数量: 11

    • DATASET: 11

有关支持的算法, 可参见 模型总览.

图像生成数据集

  • 论文数量: 2

    • [DATASET] Image-to-Image Translation With Conditional Adversarial Networks (为 Pix2pix 准备配对数据集 ⇨)

    • [DATASET] Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks (为 CycleGAN 准备未配对数据集 ⇨)

图像补全数据集

  • 论文数量: 3

    • [DATASET] Context Encoders: Feature Learning by Inpainting (准备 Paris Street View 数据集 ⇨)

    • [DATASET] Places: A 10 Million Image Database for Scene Recognition (准备 Places365 数据集 ⇨)

    • [DATASET] Progressive Growing of Gans for Improved Quality, Stability, and Variation (准备 CelebA-HQ 数据集 ⇨)

抠图数据集

  • 论文数量: 1

    • [DATASET] Deep Image Matting (准备 Composition-1k 数据集 ⇨)

超分辨率数据集

  • 论文数量: 5

    • [DATASET] Ntire 2017 Challenge on Single Image Super-Resolution: Dataset and Study (准备 DIV2K 数据集 ⇨)

    • [DATASET] Ntire 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study (准备 REDS 数据集 ⇨)

    • [DATASET] On Bayesian Adaptive Video Super Resolution (准备 Vid4 数据集 ⇨)

    • [DATASET] Real-Esrgan: Training Real-World Blind Super-Resolution With Pure Synthetic Data (准备 DF2K_OST 数据集 ⇨)

    • [DATASET] Video Enhancement With Task-Oriented Flow (准备 Vimeo90K 数据集 ⇨)

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