Update README.md

README.md

@@ -25,7 +25,9 @@ Disentangles illumination from scene content in CroCo (Cross-view Completion) la
 | **Training** | | |
 | [`CroCoDiLight_decoder.pth`](https://huggingface.co/alistairfoggin/CroCoDiLight/resolve/main/CroCoDiLight_decoder.pth?download=true) | Training of `CroCoDiLight.pth` | The pretrained monocular decoder for the CroCo v2 encoder |
 
-`CroCoDiLight.pth` is the base model needed by every inference and evaluation script. The mapper weights are only needed for their respective tasks. Lighting transfer, freezing, and interpolation use the base model only. `CroCoDiLight_decoder.pth` is not necessary for inference as it is embedded into `CroCoDiLight.pth`, but can be used as a standalone decoder for the CroCo v2 ViTLarge encoder (which is embedded in the model weights too).
+`CroCoDiLight.pth` is the base model needed by every inference and evaluation script. The mapper weights are only needed for their respective tasks. Lighting transfer, freezing, and interpolation use the base model only.
+
+`CroCoDiLight_decoder.pth` is not necessary for inference as it is embedded into `CroCoDiLight.pth`, but can be used as a standalone decoder for the CroCo v2 ViTLarge encoder (which is embedded in the model weights too).
 
 ## Usage
 See the [GitHub repository](https://github.com/alistairfoggin/CroCoDiLight) for setup instructions, inference scripts, Gradio demos, training, and evaluation.
@@ -49,7 +51,8 @@ data documented in the [NOTICE](https://github.com/alistairfoggin/CroCoDiLight/b
 
 ## Acknowledgements
 CroCoDiLight builds on [CroCo](https://github.com/naver/croco) (Weinzaepfel et al.),
-licensed under CC BY-NC-SA 4.0 by Naver Corporation.  
+licensed under CC BY-NC-SA 4.0 by Naver Corporation.
+
 Model training was performed on the Viking cluster, a high performance compute facility
 provided by the University of York. We are grateful for computational support from the
 University of York, IT Services and the Research IT team.