Improve model card with metadata, links and usage

README.md

@@ -1,3 +1,48 @@
 ---
 license: cc-by-nc-4.0
+pipeline_tag: image-to-3d
 ---
+
+# ZipSplat: Fewer Gaussians, Better Splats
+
+ZipSplat is a feed-forward model for 3D Gaussian Splatting. It reconstructs a scene from a few unposed images in a single forward pass, without requiring camera poses, intrinsics, or per-scene optimization. Instead of predicting one Gaussian per pixel, it uses a token-based approach to decouple Gaussian placement from the pixel grid, achieving high-quality reconstructions with significantly fewer Gaussians.
+
+- [**Paper**](https://huggingface.co/papers/2606.05102)
+- [**Project Page**](https://veichta.com/zipsplat)
+- [**Github Repository**](https://github.com/cvg/ZipSplat)
+
+## Inference
+
+ZipSplat provides a standalone inference package to generate 3D Gaussians from images or video clips.
+
+```python
+import math, torch
+from zipsplat import ZipSplat, Camera, Pose, load_image, viz
+
+# Load the model
+model = ZipSplat(weights="zipsplat").cuda().eval()
+
+# Load raw images (any size, auto-resized internally)
+images = [load_image(p) for p in paths] 
+gaussians = model(images)[0] # feed-forward 3D Gaussians
+
+# Render a novel view
+camera = Camera.from_fov(math.radians(60), w=512, h=512)
+pose = Pose.from_Rt(torch.eye(3), torch.zeros(3)) # identity pose
+rgb, info = gaussians.render(camera, pose)
+
+# Export
+gaussians.save_ply("scene.ply")                             # open in any 3DGS viewer
+viz.turntable(gaussians, "turntable.mp4", sweep_deg=None)   # wiggle orbit video
+```
+
+## BibTeX
+
+```bibtex
+@article{veicht2026zipsplat,
+  title   = {ZipSplat: Fewer Gaussians, Better Splats},
+  author  = {Veicht, Alexander and Hong, Sunghwan and Bar{\'a}th, D{\'a}niel and Pollefeys, Marc},
+  journal = {arXiv preprint arXiv:2606.05102},
+  year    = {2026}
+}
+```