Post
1704
𝐌𝐄𝐒𝐀 🏔️ 𝐓𝐞𝐱𝐭-𝐛𝐚𝐬𝐞𝐝 𝐭𝐞𝐫𝐫𝐚𝐢𝐧 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥
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 Borne–Pons ( @NewtNewt ) during his joint internship at
Adobe & ESA, and in collaboration with asterisk labs.
🏔️ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐏𝐚𝐠𝐞 : https://paulbornep.github.io/mesa-terrain/
📝 𝐏𝐫𝐞𝐩𝐫𝐢𝐧𝐭 : https://arxiv.org/abs/2504.07210
🤗 𝐌𝐨𝐝𝐞𝐥 𝐖𝐞𝐢𝐠𝐡𝐭𝐬 : NewtNewt/MESA
💾 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 : Major-TOM/Core-DEM
🧑🏻💻𝐂𝐨𝐝𝐞 : https://github.com/PaulBorneP/MESA
𝐇𝐅 𝐒𝐩𝐚𝐜𝐞: mikonvergence/MESA
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 Borne–Pons ( @NewtNewt ) during his joint internship at
Adobe & ESA, and in collaboration with asterisk labs.
🏔️ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐏𝐚𝐠𝐞 : https://paulbornep.github.io/mesa-terrain/
📝 𝐏𝐫𝐞𝐩𝐫𝐢𝐧𝐭 : https://arxiv.org/abs/2504.07210
🤗 𝐌𝐨𝐝𝐞𝐥 𝐖𝐞𝐢𝐠𝐡𝐭𝐬 : NewtNewt/MESA
💾 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 : Major-TOM/Core-DEM
🧑🏻💻𝐂𝐨𝐝𝐞 : https://github.com/PaulBorneP/MESA
𝐇𝐅 𝐒𝐩𝐚𝐜𝐞: mikonvergence/MESA
