https://vimeo.com/1019845514?loop=1&autopause=0&background=1&muted=1&ratio=2802:1790 ## Background InstantSplat is a sparse-view, SfM-free framework for large-scale scene reconstruction method using Gaussian Splatting. It allows for extremely fast reconstruction by using Dust3r, a multiview stereo network, to initialize camera poses and dense point cloud for all training views. To enhance pose accuracy and tune scene parameters a gradient-based joint optimization framework from self-supervision is used. By employing this simplified framework, InstantSplat achieves a substantial reduction in training time, from hours to mere seconds, and demonstrates robust performance across various numbers of views in diverse datasets ## Run the code This is an external example. Check the [repository](https://github.com/pablovela5620/InstantSplat) for more information. You can try the example on HuggingFace space [here](https://huggingface.co/spaces/pablovela5620/instant-splat). It is highly recommended to run this example locally by cloning the above repo and running (make sure you have [Pixi](https://pixi.sh/latest/#installation) installed): ``` git clone https://github.com/pablovela5620/InstantSplat.git pixi run app ```