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  JiT-B with DINOv3
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- The model follows the description of the [related paper](https://arxiv.org/pdf/2603.14366) (Figure 2) and the [loss calculation](https://github.com/kaist-cvml/PixelREPA/blob/main/denoiser_pixelREPA.py#L127) of the adapter model.
 
 
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  This repo is a continuation of the [portrait demo](https://huggingface.co/nebulette/segmentation-aware-jit-b).
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  Random weights are provided.
 
 
 
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  JiT-B with DINOv3
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+ The model follows the description of the related paper (Figure 2) and the [loss calculation](https://github.com/kaist-cvml/PixelREPA/blob/main/denoiser_pixelREPA.py#L127) of the adapter model.
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+ The inference is not compatible with the official codebase.
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  This repo is a continuation of the [portrait demo](https://huggingface.co/nebulette/segmentation-aware-jit-b).
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  Random weights are provided.
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+ - 2603.14366