diff --git a/README.md b/README.md
index d7bd792..1ebded5 100755
--- a/README.md
+++ b/README.md
@@ -1,5 +1,13 @@
-# Fast Video Processing on CRVD dataset
+# BSVD for Fast Video Processing on CRVD dataset
 
+Note that the code in this branch is quite dirty. And this is only for those who just want to reproduce the performance reported in BSVD paper.
+
+Currently, I have moved to research on video diffusion model, which is the state-of-the-art in image and video generation.
+
+If you are looking for the best model for video denoising, it is strongly recommended to train a video denoising model, which naturally support video denoising.
+
+Another cheap and fast option is using a pretrained diffusion model for zero-shot video enhancement like that in [FateZero](https://github.com/ChenyangQiQi/FateZero).
+We have present a initl experiment of zero-sho video restoration at 3:00 minute of thie [video](https://github.com/ChenyangQiQi/FateZero#-demo-video).
 # Dependencies
 
 ## Environment
@@ -10,16 +18,13 @@ conda env create -f environment.yaml -n py37torch170
 # for 3090GPU
 # conda env create -f environment_3090.yaml -n py37torch170
 # pip install -r requirements.txt
+
 ```
-<!-- Note: this project needs the [NVIDIA DALI](https://github.com/NVIDIA/DALI) package for training. The tested version of DALI is 0.10.0. If you prefer to install it yourself (supposing you have CUDA 10.0), you need to run
+To install pytorch for cuda11
 ```bash
-pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.10.0 
-pip install --extra-index-url https://developer.download.nvidia.com/compute/redist --upgrade nvidia-dali-cuda110
-
-
-``` -->
-i
 pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
+```
+
 ## other utils
 
 ```bash
@@ -36,24 +41,21 @@ pip install tensorboardX
 Keep the folder structure as (to polish structure)
 ```
 --EfficientVideoDenoising
-  |--dataset
-   |--CRVD
-   |--SRVD_data
   |--configs
   |--data
   |--model
   |--train_crvd_ddp.py
   |--logs
+    |--1106_1008_crvd_tswnet16_batch16_lr_1e-4_seq7_nonorm_10_300
+      |--ckpt_epochs
+    |--1113_wnet_memconv_none_as_end
   |--results
+  |--dataset
+    |--CRVD
+    |--SRVD_data
 
 ```
-# Train
-```bash
-# train tswnet_16
-./configs/train_crvd_tswnet/0830_train_crvd_ptswnet_l1_seq7.sh
-# train tswnet_24
-./configs/train_crvd_tswnet/0907_train_crvd_ptswnet_l1_lr_same_inference_time_1e-5.sh
-```
+
 
 # Validation
 
@@ -64,3 +66,14 @@ bash ./configs/memory_conv/1113_wnet_memconv_none_as_end.sh
 # validate tswnet_24
 
 ```
+
+Check the result at 'logs/1113_wnet_memconv_none_as_end'
+# Train (in progress)
+<!-- ```bash
+# train tswnet_16
+./configs/train_crvd_tswnet/0830_train_crvd_ptswnet_l1_seq7.sh
+# train tswnet_24
+./configs/train_crvd_tswnet/0907_train_crvd_ptswnet_l1_lr_same_inference_time_1e-5.sh
+``` -->
+
+