FEW-SHOT SCENE ACQUISITION FOR GAME ENVIRONMENTS CREATION

该项目旨在创建一种负担得起的方法来获得游戏开发的3D资产。该方法将包括重建一个真实的场景从几个图像与物理上逼真的材料进行渲染。想象一下，使用来自互联网或相机的一些图像为您的游戏创建资产！现代3D内容制作在游戏制作和VR/AR应用中起着至关重要的作用。然而，目前进入这一领域的门槛太高。这影响了公司和独立开发人员，需要大量的工作来掌握复杂的3D软件包以及复杂的几何和材料捕获设置。该项目提出了一种方法，使这一领域的广泛使用民主化，并使更快地创建游戏环境成为可能。使用可学习的先验知识将允许从一些图像中重建复杂的场景，以在游戏中渲染场景。隐式表示的体绘制技术看起来像是最好的起点，因为它易于区分和真实感。最终模型可以用作游戏渲染器或接收场景的中间表示，最终转换为经典的网格和纹理。

This project aims to create an affordable method of obtaining 3D assets for game development. The method will consist of reconstructing a real scene from few images with physically realistic materials for rendering. Just imagine using a few images from the internet or your camera to create an asset for your game! Modern 3d content production plays a crucial role in the games making and VR/AR applications. However, the entry threshold into this field is currently too high. This affects companies and independent developers alike, requiring a lot of work to master complex 3D software packages as well as sophisticated geometry and material capture setups. This project proposes a way to democratize this field for widespread use and make faster creation of game environments possible. The use of learnable priors will allow complex scenes to be reconstructed from a few images to render the scene in-game. Volumetric rendering techniques with implicit representations look like the best starting point here due to the ease of differentiation and photorealism. The final model can be used as a game renderer or an intermediate representation of the received scene, converted into classic meshes and textures at the end.