update readme

readme.md

@@ -79,16 +79,16 @@ wget xxxx ckpts/
 ```
 3. Run the V3D Video diffusion to generate dense multi-views
 ```
-pass
+PYTHONPATH="." python scripts/pub/V3D_512.py --input_path <image file or dir> --save --border_ratio 0.3 --min_guidance_scale 4.5 --max_guidance_scale 4.5 --output-folder <output-dest>
 ```
 4. Reconstruct 3D assets from generated multi-views
 Using 3D Gaussian Splatting
 ```
-python recon/train_from_vid.py
+python recon/train_from_vid.py  -w --sh_degree 0 --iterations 4000 --lambda_dssim 1.0 --lambda_lpips 2.0 --save_iterations 4000 --num_pts 100_000 --video <your generated video>
 ```
 Or using (NeuS) instant-nsr-pl:
 ```
-python mesh-recon/launch.py
+python launch.py --config configs/videonvs.yaml --gpu <gpu> --train system.loss.lambda_normal=0.1 dataset.scene=<scene_name> dataset.root_dir="output_dir" dataset.img_wh='[512, 512]'
 ```
 
 ## Acknowledgement