Update README.md

README.md

@@ -13,19 +13,19 @@ This is the official repo for paper [StableMotion: Repurposing Diffusion-Based I
 
 ## StableMotion for Stitched Image Rectangling (SIR)
 ### Inference
-0. Download the checkpoints of "StableMotion_SIR"
-1. Run "cd StableMotion_SIR && sh sample.sh". You may want to change this file to modify the inference configurations.
-2. Run "sh metrics.sh" to evaluate the results.
+0. Download the checkpoints of `StableMotion_SIR`
+1. Run `cd StableMotion_SIR && sh sample.sh`. You may want to change this file to modify the inference configurations.
+2. Run `sh metrics.sh` to evaluate the results.
 
 ### Training
 0. Replicate [RecDiffusion](https://github.com/lhaippp/RecDiffusion) to get pseudo labels, i.e., the flow labels generated by [RecDiffusion](https://github.com/lhaippp/RecDiffusion) on the training set of [DIR-D](https://drive.google.com/file/d/1KR5DtekPJin3bmQPlTGP4wbM1zFR80ak/view?usp=sharing). Put and rename it into `StableMotion_SIR/MDM_Flow`.
-1. Run "cd StableMotion_SIR && sh train.sh". You may want to change this file to modify the training configurations. The default configuration requires approximately 80 GB of VRAM per card.
+1. Run `cd StableMotion_SIR && sh train.sh`. You may want to change this file to modify the training configurations. The default configuration requires approximately 80 GB of VRAM per card.
 
 ## StableMotion for Rolling Shutter Correction (RSC)
 ### Inference
-0. Download the checkpoints of "StableMotion_RSC"
-1. Run "cd StableMotion_RSC && sh sample.sh". You may want to change this file to modify the inference configurations.
-2. Run "sh metrics.sh" to evaluate the results.
+0. Download the checkpoints of `StableMotion_RSC`
+1. Run `cd StableMotion_RSC && sh sample.sh`. You may want to change this file to modify the inference configurations.
+2. Run `sh metrics.sh` to evaluate the results.
 
 ### Training
-Run "cd StableMotion_RSC && sh train.sh". You may want to change this file to modify the training configurations. The default configuration requires approximately 40 GB of VRAM per card.
+Run `cd StableMotion_RSC && sh train.sh`. You may want to change this file to modify the training configurations. The default configuration requires approximately 40 GB of VRAM per card.