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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

  • 模型权重文件数量: 70

  • 配置文件数量: 66

  • 论文数量: 26

    • ALGORITHM: 26

有关支持的数据集,请参阅 数据集总览

补全模型

  • 模型权重文件数量: 8

  • 配置文件数量: 9

  • 论文数量: 5

    • [ALGORITHM] Aggregated Contextual Transformations for High-Resolution Image Inpainting ()

    • [ALGORITHM] Free-Form Image Inpainting With Gated Convolution ()

    • [ALGORITHM] Generative Image Inpainting With Contextual Attention ()

    • [ALGORITHM] Globally and Locally Consistent Image Completion ()

    • [ALGORITHM] Image Inpainting for Irregular Holes Using Partial Convolutions ()

抠图模型

  • 模型权重文件数量: 9

  • 配置文件数量: 9

  • 论文数量: 3

    • [ALGORITHM] Deep Image Matting ()

    • [ALGORITHM] Indices Matter: Learning to Index for Deep Image Matting ()

    • [ALGORITHM] Natural Image Matting via Guided Contextual Attention ()

超分辨率模型

  • 模型权重文件数量: 43

  • 配置文件数量: 38

  • 论文数量: 16

    • [ALGORITHM] Basicvsr: The Search for Essential Components in Video Super-Resolution and Beyond ( )

    • [ALGORITHM] Basicvsr++: Improving Video Super-Resolution With Enhanced Propagation and Alignment ()

    • [ALGORITHM] Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation ()

    • [ALGORITHM] Edvr: Video Restoration With Enhanced Deformable Convolutional Networks ()

    • [ALGORITHM] Enhanced Deep Residual Networks for Single Image Super-Resolution ()

    • [ALGORITHM] Esrgan: Enhanced Super-Resolution Generative Adversarial Networks ()

    • [ALGORITHM] Glean: Generative Latent Bank for Large-Factor Image Super-Resolution ()

    • [ALGORITHM] Image Super-Resolution Using Deep Convolutional Networks ()

    • [ALGORITHM] Learning Continuous Image Representation With Local Implicit Image Function ()

    • [ALGORITHM] Learning Texture Transformer Network for Image Super-Resolution ()

    • [ALGORITHM] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network ()

    • [ALGORITHM] Real-Esrgan: Training Real-World Blind Super-Resolution With Pure Synthetic Data ()

    • [ALGORITHM] Realbasicvsr: Investigating Tradeoffs in Real-World Video Super-Resolution ()

    • [ALGORITHM] Residual Dense Network for Image Super-Resolution ()

    • [ALGORITHM] Tdan: Temporally-Deformable Alignment Network for Video Super-Resolution ()

    • [ALGORITHM] Video Enhancement With Task-Oriented Flow ()

生成模型

  • 模型权重文件数量: 10

  • 配置文件数量: 10

  • 论文数量: 2

    • [ALGORITHM] Image-to-Image Translation With Conditional Adversarial Networks ()

    • [ALGORITHM] Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks ()

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