Update README.md

README.md

@@ -21,7 +21,9 @@ snapshot_download(
 ```
 
 ## Images 
-We performed some light image curation 
+* MipNeRF360, Tanks and Temples, NeRF-OSR, DroneDeploy, ZipNeRF and Mill-19 store the images for a scene in the same directory. All the images are used for running SfM.
+* For Eyeful Tower, images are stored in different subdirectories for each scene. We extract the image paths from the provided `cameras.json`, which contains the GT poses for each image. The subdirectory structure is preserved.
+* Urbanscene3D also stores images in different subdirectories. We extract the image paths from the refined GT provided [here](https://github.com/cmusatyalab/mega-nerf?tab=readme-ov-file#urbanscene-3d) by [MegaNeRF](https://github.com/cmusatyalab/mega-nerf).
 
 ## Databases
 Unless specified below, all databases `.db` files are produced with 
@@ -30,11 +32,8 @@ colmap feature_extractor --ImageReader.single_camera 1 --ImageReader.camera_mode
 colmap exhaustive_matcher --database_path {db_fname}
 ```
 
-For nerf-osr (i.e. those with prefix `nosr_`), `dploy_house4`, urbanscene (`urbn_`), eyeful tower (`eft_`), 
-we use `--ImageReader.single_camera 0`. 
-
-For eth3d MVS (`eth3d_dslr_`), we populate the databases with author provided ground truth camera intrinsics. 
-This is to keep the eval protocol consistent with Glomap. see [issue 96](https://github.com/colmap/glomap/issues/96).
+* For nerf-osr (i.e. those with prefix `nosr_`), `dploy_house4`, urbanscene (`urbn_`), eyeful tower (`eft_`), we use `--ImageReader.single_camera 0`. 
+* For eth3d MVS (`eth3d_dslr_`), we populate the databases with author provided ground truth camera intrinsics. This is to keep the eval protocol consistent with Glomap. see [issue 96](https://github.com/colmap/glomap/issues/96).
 
 
 ## Ground truths