Train a convolutional neural network to generate the contents of an arbitrary image region conditioned on its surroundings.
Source: Context Encoders: Feature Learning by InpaintingPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Image Inpainting | 193 | 21.96% |
Image Generation | 55 | 6.26% |
Denoising | 52 | 5.92% |
Video Inpainting | 40 | 4.55% |
Semantic Segmentation | 23 | 2.62% |
Decoder | 23 | 2.62% |
Novel View Synthesis | 17 | 1.93% |
Super-Resolution | 17 | 1.93% |
Image Restoration | 16 | 1.82% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |