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<a href="https://research.adobe.com/person/romain-rouffet/" target="_blank">Romain Rouffet</a></p>
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<p align="center"><a href="https://sites.google.com/view/morse2025" target="_blank">CVPR 2025 Workshop MORSE</a> </p>
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<p align="center"><img src=mesa-header-nz.png></p>
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MESA is a novel generative model based on latent denoising diffusion capable of generating 2.5D representations of terrain based on the text prompt conditioning supplied via natural language. The model produces two co-registered modalities of optical and depth maps.
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<a href="https://research.adobe.com/person/romain-rouffet/" target="_blank">Romain Rouffet</a></p>
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<p align="center"><a href="https://sites.google.com/view/morse2025" target="_blank">CVPR 2025 Workshop MORSE</a> </p>
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<p align="center"><img src=https://huggingface.co/NewtNewt/MESA/blob/main/mesa-header-nz.png></p>
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MESA is a novel generative model based on latent denoising diffusion capable of generating 2.5D representations of terrain based on the text prompt conditioning supplied via natural language. The model produces two co-registered modalities of optical and depth maps.
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