Point the code and project page links to corl-team

README.md

@@ -17,8 +17,8 @@ Pretrained weights for **NAMVIS** (NeurIPS 2026), a diffusion-free, geometry-con
 next-scale autoregressive model for sparse-view novel view synthesis.
 
 - 📄 Paper: [OpenReview](https://openreview.net/forum?id=dTzafRJOTR)
-- 🌐 Project page: https://smileyenot983.github.io/namvis
-- 💻 Code: https://github.com/smileyenot983/namvis
+- 🌐 Project page: https://corl-team.github.io/namvis
+- 💻 Code: https://github.com/corl-team/namvis
 - 🗂️ Training data: [Part 1](https://huggingface.co/datasets/smileyenot983/objaversexl_sketchfab_pmap) · [Part 2](https://huggingface.co/datasets/smileyenot983/objaversexl_github6.5_pmap)
 
 ## Files
@@ -35,7 +35,7 @@ hf download smileyenot983/NAMVIS namvis_1b.pth infinity_vae_d32reg.pth --local-d
 ```
 
 Inference, evaluation, and fine-tuning commands are in the
-[code repository](https://github.com/smileyenot983/namvis).
+[code repository](https://github.com/corl-team/namvis).
 
 ## Details