Update README.md

README.md

@@ -2,7 +2,7 @@
 Codebase for paper: 
 * Work with 360 capture of large-scale unbounded scenes.
 * Support multi-gpu training and inference with PyTorch DistributedDataParallel (DDP). 
-* Optimize per-image autoexposure (ongoing work)
+* Optimize per-image autoexposure (*experimental feature*)
 
 ## Data
 * Download our preprocessed data from [tanks_and_temples](https://drive.google.com/file/d/11KRfN91W1AxAW6lOFs4EeYDbeoQZCi87/view?usp=sharing), [lf_data](https://drive.google.com/file/d/1gsjDjkbTh4GAR9fFqlIDZ__qR9NYTURQ/view?usp=sharing).
@@ -28,4 +28,4 @@ python ddp_train_nerf.py --config configs/tanks_and_temples/tat_training_truck.t
 ```python
 python ddp_test_nerf.py --config configs/tanks_and_temples/tat_training_truck.txt \
                         --render_splits test,camera_path
-```
+```