Klee Young
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ππππ ποΈ πππ±π-πππ¬ππ πππ«π«ππ’π§ π ππ§ππ«πππ’π¨π§ π¦π¨πππ₯
MESA is a novel generative model based on latent denoising diffusion capable of generating 2.5D representations (co-registered colour and depth maps) of terrains based on text prompt conditioning.
Work developed by Paul BorneβPons (@NewtNewt) during his joint internship at
Adobe & ESA, and in collaboration with asterisk labs.
ποΈ ππ«π¨π£πππ πππ π : https://paulbornep.github.io/mesa-terrain/
π ππ«ππ©π«π’π§π : https://arxiv.org/abs/2504.07210
π€ ππ¨πππ₯ πππ’π π‘ππ¬ : https://www.huggingface.co/NewtNewt/MESA
πΎ πππππ¬ππ : https://huggingface.co/datasets/Major-TOM/Core-DEM
π§π»βπ»βππ¨ππ : https://github.com/PaulBorneP/MESA
ππ
ππ©πππ: https://huggingface.co/spaces/mikonvergence/MESA
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