Row 6262

Row ID: 6262 | Dataset Entry | Axioma AXP Content Repository

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Hi guys I need help. I tained a GAN image to image conversion model to restore damaged pictures. Only problem is that my model is limited to 256x256 images. What's a good way to use such a model on larger non squared images like 1920x1080 pixel? I tried with tiling but it leaves some very unsightly edges

FieldValue
text Hi guys I need help. I tained a GAN image to image conversion model to restore damaged pictures. Only problem is that my model is limited to 256x256 images. What's a good way to use such a model on larger non squared images like 1920x1080 pixel? I tried with tiling but it leaves some very unsightly edges
label r/tensorflow
dataType post
communityName r/tensorflow
datetime 2024-05-08
username_encoded Z0FBQUFBQm5LakwyWkZNVzVXcXZ5UW1TS2RPUWk3cTgtQjVnZmw3Y1pfOV9ES0diLWdEaGRFdFExTDlPcDE2bmh3aU9DcHdOMVpyenhPYWtyZFlpTUpkWTR3dDl0bzRkZm1pdHFOcUtOU3Q0T2s0ZFpoblpnb009
url_encoded Z0FBQUFBQm5Lak9HMklVbWtYUVhMSm42aS1DRTZHbmdsWm9vRTVUVzI5S3U3ZW10b01wLVk5ME45RUJCU2F6azNPQ0FkWERPbkJpckNtS3I3Z0w3STd5MDlNNUFGUWI3cDdEbUVxTDh1a0QwMDl1b1d0RUhCeUxxaDBZT285bVFBQ0dXR1EyTkVadWIzNk8tODNaNUVHZTBZSGgtajlSeFZkVzJKQ0U3dGhBcW5yN29kRjAtQnA5aUpuNFdEX1c2bEJSV2VRY0lqblktZ2hMekthTWxwRzFPTzlTeDFhbmt2Zz09

Raw Record

{
  "text": "Hi guys I need help. I tained a GAN image to image conversion model to restore damaged pictures. Only problem is that my model is limited to 256x256 images. What's a good way to use such a model on larger non squared images like 1920x1080 pixel? I tried with tiling but it leaves some very unsightly edges  ",
  "label": "r/tensorflow",
  "dataType": "post",
  "communityName": "r/tensorflow",
  "datetime": "2024-05-08",
  "username_encoded": "Z0FBQUFBQm5LakwyWkZNVzVXcXZ5UW1TS2RPUWk3cTgtQjVnZmw3Y1pfOV9ES0diLWdEaGRFdFExTDlPcDE2bmh3aU9DcHdOMVpyenhPYWtyZFlpTUpkWTR3dDl0bzRkZm1pdHFOcUtOU3Q0T2s0ZFpoblpnb009",
  "url_encoded": "Z0FBQUFBQm5Lak9HMklVbWtYUVhMSm42aS1DRTZHbmdsWm9vRTVUVzI5S3U3ZW10b01wLVk5ME45RUJCU2F6azNPQ0FkWERPbkJpckNtS3I3Z0w3STd5MDlNNUFGUWI3cDdEbUVxTDh1a0QwMDl1b1d0RUhCeUxxaDBZT285bVFBQ0dXR1EyTkVadWIzNk8tODNaNUVHZTBZSGgtajlSeFZkVzJKQ0U3dGhBcW5yN29kRjAtQnA5aUpuNFdEX1c2bEJSV2VRY0lqblktZ2hMekthTWxwRzFPTzlTeDFhbmt2Zz09"
}
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