TerrainSR：基于低分辨率高程数据的自动化高分辨率地形生成
问题概述
开发者需要将低分辨率的历史地形数据（如100 m DEM）转化为细节丰富、自然的高分辨率地形，以构建 1:1 比例的历史游戏世界；同时希望能够从同一低分辨率种子生成多种变体，以保证游戏平衡和独特性，而当前工具面临大容量、碎片化数据存储以及人造物遮蔽导致的自然地形重建困难。
痛点标签
- 低分辨率地形数据细节不足
- 大容量、碎片化的高分辨率数据存储与处理困难
- 人造物（建筑、矿山等）遮蔽导致自然地形重建困难
- 缺乏从同一低分辨率种子生成多样化地图的能力以满足游戏平衡需求
待验证问题
- 是否支持在非地球行星（如火星）上生成真实感地形？
- 用户是否愿意为生成多样化的地图变体付费或订阅？
- 现有模型在大规模真实地形数据上的处理速度和存储需求如何？
证据
原话 · @Anonymous
Really cool! I did my master's thesis on this same problem, upscaling low resolution DEM, though my approach used a high resolution color image to guide the process.
原话 · @Anonymous
On my phone but very interested in this (hence leaving a comment so I can find it later). What’s the variation, can we generate different maps from the same low res seed?I’m interested in this because “macro maps” can be hand built in a way that may want to preserve gameplay balance while individual games can still feel broadly unique.
原话 · @Anonymous
can you talk to some about how you trained this? this is such a neat idea!!
事实
100m data was too low-res while 10m LIDAR data was patchy, took hundreds of GBs to store and was full of manmade objects like mines, buildings and so on.
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