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README.md
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@@ -25,7 +25,7 @@ For usage instructions, please refer to our <a href="https://github.com/boschres
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[ade20k_step9.ckpt](ade20k_step9.ckpt) and [cityscapes_step9.ckpt](cityscapes_step9.ckpt) are pretrained diffusion model weights for inference.
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[encoder_epoch_50.pth](encoder_epoch_50.pth), [decoder_epoch_50_20cls.pth](decoder_epoch_50_20cls.pth) and [decoder_epoch_50_151cls.pth](decoder_epoch_50_151cls.pth)
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are segmentation models used for
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which are adopted from pretrained
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[ade20k_step9.ckpt](ade20k_step9.ckpt) and [cityscapes_step9.ckpt](cityscapes_step9.ckpt) are pretrained diffusion model weights for inference.
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[encoder_epoch_50.pth](encoder_epoch_50.pth), [decoder_epoch_50_20cls.pth](decoder_epoch_50_20cls.pth) and [decoder_epoch_50_151cls.pth](decoder_epoch_50_151cls.pth)
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are segmentation models used for discriminator intialization in training,
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which are adopted from pretrained UperNet101 [here](https://github.com/CSAILVision/semantic-segmentation-pytorch).
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