Long-LRM
Efficient 3D Gaussian reconstruction model to achieve rapid reconstruction of large scenes
Product Details
Long-LRM is a model for 3D Gaussian reconstruction capable of reconstructing large scenes from a sequence of input images. The model can process 32 source images at 960x540 resolution in 1.3 seconds and runs on only a single A100 80G GPU. It combines the latest Mamba2 module and the traditional transformer module, and improves efficiency while ensuring quality through efficient token merging and Gaussian pruning steps. Compared with traditional feedforward models, Long-LRM is able to reconstruct the entire scene at once instead of only a small part of the scene. On large-scale scene datasets, such as DL3DV-140 and Tanks and Temples, Long-LRM's performance is comparable to optimization-based methods while improving efficiency by two orders of magnitude.
Main Features
How to Use
Target Users
The target audience is 3D modelers, game developers, virtual reality content creators, and any professionals who need fast and efficient 3D scene reconstruction. Long-LRM's high efficiency and high-quality reconstruction capabilities enable these users to create realistic 3D scenes in a short time, accelerate the product development process, and improve work efficiency.
Examples
使用Long-LRM从一系列城市街景图片中快速重建出3D城市模型。
在游戏开发中，利用Long-LRM从实拍图片中重建游戏场景，提高场景的真实感。
虚拟现实内容创作者使用Long-LRM从多角度拍摄的图片中重建出高精度的虚拟环境。
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