add instant_splat example (#7751)

examples/manifest.toml

@@ -100,6 +100,7 @@ examples = [
   "differentiable_blocks_world",
   "stereo_vision_slam",
   "glomap",
+  "instant_splat",
   "signed_distance_fields",
   "raw_mesh",
 ]

examples/python/instant_splat/README.md

@@ -0,0 +1,24 @@
+<!--[metadata]
+title = "InstantSplat"
+tags = ["2D", "3D", "HuggingFace", "Pinhole camera", "Point cloud"]
+source = "https://github.com/pablovela5620/InstantSplat"
+thumbnail = "https://static.rerun.io/final_instantsplat/e488f427179b0f439e60b6a0c29440fc836860dd/480w.png"
+thumbnail_dimensions = [480, 268]
+-->
+
+
+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
+```