Paper: arXiv:2611.05593 (links and citation)

README.md

@@ -24,7 +24,7 @@ rasterizer in the renderer. It adapts [RenderFormer](https://huggingface.co/micr
 opacity(1)]` become one scene token, and the two-stage architecture (view-independent scene encoder, view-dependent
 ray decoder with a DPT head) is kept and warm-started from RenderFormer's weights.
 
-**Code:** [github.com/SVLwoof/gaussianformer](https://github.com/SVLwoof/gaussianformer)
+**Paper:** [arXiv:2611.05593](https://arxiv.org/abs/2611.05593) · **Project page:** [svlwoof.github.io/gaussianrenderformer](https://svlwoof.github.io/gaussianrenderformer/) · **Code:** [github.com/SVLwoof/gaussianformer](https://github.com/SVLwoof/gaussianformer)
 
 ## How to use
 
@@ -114,7 +114,16 @@ MIT, for the weights as for the code. The model is trained on
 
 ## Citation
 
-A paper on GaussianFormer is in preparation and will be presented at a later date; its citation will be added here.
+The paper ([arXiv:2611.05593](https://arxiv.org/abs/2611.05593)) calls the model GaussianRenderFormer:
+
+```bibtex
+@article{valencialevy2026gaussianrenderformer,
+  title     = {GaussianRenderFormer: Transformer-based Rendering of 3D Gaussian Splats},
+  author    = {Valencia Levy, Shahaf and Benaim, Sagie},
+  journal   = {arXiv preprint arXiv:2611.05593},
+  year      = {2026}
+}
+```
 
 GaussianFormer builds on RenderFormer; please also cite: