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@@ -15,6 +15,10 @@ This new checkpoint related to the upscaler called ldm3d-sr.
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  The abstract from the paper is the following: Latent diffusion models have proven to be state-of-the-art in the creation and manipulation of visual outputs. However, as far as we know, the generation of depth maps jointly with RGB is still limited. We introduce LDM3D-VR, a suite of diffusion models targeting virtual reality development that includes LDM3D-pano
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  and LDM3D-SR. These models enable the generation of panoramic RGBD based on textual prompts and the upscaling of low-resolution inputs to high-resolution RGBD, respectively. Our models are fine-tuned from existing pretrained models on datasets containing panoramic/high-resolution RGB images, depth maps and captions. Both models are evaluated in comparison to existing related methods.
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  ## Examples
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  Using the [🤗's Diffusers library](https://github.com/huggingface/diffusers) in a simple and efficient manner.
 
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  The abstract from the paper is the following: Latent diffusion models have proven to be state-of-the-art in the creation and manipulation of visual outputs. However, as far as we know, the generation of depth maps jointly with RGB is still limited. We introduce LDM3D-VR, a suite of diffusion models targeting virtual reality development that includes LDM3D-pano
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  and LDM3D-SR. These models enable the generation of panoramic RGBD based on textual prompts and the upscaling of low-resolution inputs to high-resolution RGBD, respectively. Our models are fine-tuned from existing pretrained models on datasets containing panoramic/high-resolution RGB images, depth maps and captions. Both models are evaluated in comparison to existing related methods.
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+ ![LDM3D-SR overview](ldm3d-sr-overview.png)
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+ <font size="2">LDM3D-SR overview </font>
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  ## Examples
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  Using the [🤗's Diffusers library](https://github.com/huggingface/diffusers) in a simple and efficient manner.