Update model card

README.md

@@ -1,8 +1,8 @@
-# NVSM Overview
+# DVSM Overview
 
 ## Description:  
 DVSM is a decoder-only Transformer for novel-view synthesis. It takes user input images and reconstruct the scene as KV cache. The user then can do arbitrary novel-view synthesis within that scene.  
-NVSM was developed by NVIDIA CORPORATION as a part of DVSM.  
+The model was developed by NVIDIA CORPORATION as a part of DVSM.  
 _This model is for research and development only._  
 
 ## Third-Party Community Consideration  
@@ -65,7 +65,7 @@ The integration of foundation and fine-tuned models into AI systems requires add
 ## Model Version(s): 
 DVSM  
 
-To integrate NVSM, start from the NVIDIA PyTorch container (nvcr.io/nvidia/pytorch:25.10-py3) and install the required Python packages including PyTorch, Transformers, Diffusers, Accelerate, and additional libraries such as OpenCV, Einops, XFormers, and others listed in the requirements. Then mount the dataset and checkpoint directories, and launch training or inference using the provided SLURM scripts or direct python calls.  
+To integrate DVSM, start from the NVIDIA PyTorch container (nvcr.io/nvidia/pytorch:25.10-py3) and install the required Python packages including PyTorch, Transformers, Diffusers, Accelerate, and additional libraries such as OpenCV, Einops, XFormers, and others listed in the requirements. Then mount the dataset and checkpoint directories, and launch training or inference using the provided SLURM scripts or direct python calls.  
  
 ## Training, Testing, and Evaluation Datasets: