Alex J. Champandard
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3809e9b02a
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Add loading of images into a buffer, using multiple fragments per JPG loaded. Works well with larger datasets like OpenImages, fully GPU bound.
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10 years ago |
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Alex J. Champandard
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619fad7f3c
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Add loading parameters from saved models. Clean up learning-rate code.
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10 years ago |
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Alex J. Champandard
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bb3b24b04c
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Add README and requirements file.
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10 years ago |
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Alex J. Champandard
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f978f058dd
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Add descriptions for command-line arguments.
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10 years ago |
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Alex J. Champandard
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d8c9292b80
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Tweak code for generalized super-resolution.
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10 years ago |
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Alex J. Champandard
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9558a11397
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Add command-line for super-resolving images without training.
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10 years ago |
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Alex J. Champandard
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03a6813e95
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Enable adversarial loss during training.
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10 years ago |
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Alex J. Champandard
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6542f435b4
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Stabilize the training, tuned the architecture.
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10 years ago |
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Alex J. Champandard
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4580e5531a
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Add .gitignore and removed symlink.
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10 years ago |
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Alex J. Champandard
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b52530cf20
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Add support for PRELU (default), optional load/save.
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10 years ago |
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Alex J. Champandard
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4d82c7f157
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Improve console output.
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10 years ago |
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Alex J. Champandard
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8770113f9a
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Add support for loading/saving models. Fixed regressions.
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10 years ago |
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Alex J. Champandard
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58e1bed4a6
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Improve display and code structure.
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10 years ago |
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Alex J. Champandard
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749b467f94
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Switch to sub-pixel deconvolution layer.
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10 years ago |
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Alex J. Champandard
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9f13695050
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Add discriminator network too.
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10 years ago |
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Alex J. Champandard
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3f24714039
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Add residual blocks to generator.
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10 years ago |
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Alex J. Champandard
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058e3d3b9e
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Add simple but working prototype, perceptual loss.
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10 years ago |
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Alex J. Champandard
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c36e677041
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Initial commit
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10 years ago |
