Update README.md

README.md

@@ -30,7 +30,8 @@ These two folders represent the 2 major pipelines in the manuscript: Physics con
 - `Exp_SimcorrtoExp_testset_seed.tar` contains the seeding configurations corresponding to the experimental and simulation images in the test set. 
 - `SimcorrtoExp_testset.tar` contain the paired simulatoin images that are used in the model inference as spatial inputs. 
 - `checkpoint_simtoexp.tar` is the trained ControlNet model checkpoint used in Fig 5 to map from simulation to experiments.
-- `checkpoint_seedtoexp.tar` is the trained ControlNet model checkpoint used in Supplementary Fig 17 to map from seed to experiments. 
+- `checkpoint_seedtoexp.tar` is the trained ControlNet model checkpoint used in Supplementary Fig 17 to map from seed to experiments.
+- `Dissimilarity_scoring.tar` contains the images used in Supplementary Figures 17 and 18, and the trained contrastive learning model. 
 - `inference_folders.tar` contains various results from the trained ControlNet model on the test set. 
 
     i) `v2025926_1251_simtoexp_v3` contains the results of the base ControlNet model used in Fig 5.
@@ -54,9 +55,15 @@ These two folders represent the 2 major pipelines in the manuscript: Physics con
     ix) `v20251023_181_lower_guidance_9point0`: Lower guidance scale of 9.0 used in model training
 
     
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 Note: 
 1) The datasets in the manuscript are augmented using rotations to increase the training size for model training. All the datasets here are non-augmented. Instructions on how to augment the dataset are outlined in the github repo. 
 
-2) Supplementary Figure 13 in the manuscipt involves the use of experimental images. To run this model, the appropriate images can be downloaded from the sim_to_exp_diffusion dataset. 
+2) Supplementary Figure 13 in the manuscipt involves the use of experimental images. To run this model, the appropriate images can be downloaded from the sim_to_exp_diffusion dataset.
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