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README.md

@@ -5,10 +5,10 @@ license: other
 license_name: autodesk-non-commercial-3d-generative-v1.0
 tags:
 - wala
-- SV-to-3d
+- single-view-to-3d
 ---
 
-# Model Card for WaLa-single-view-1B
+# Model Card for WaLa-SV-1B
 
 This model is part of the Wavelet Latent Diffusion (WaLa) paper, capable of generating high-quality 3D shapes from single-view images with detailed geometry and complex structures.
 
@@ -16,7 +16,7 @@ This model is part of the Wavelet Latent Diffusion (WaLa) paper, capable of gene
 
 ### Model Description
 
-WaLa-single-view-1B is a large-scale 3D generative model trained on a massive dataset of over 10 million publicly-available 3D shapes. It can efficiently generate a wide range of high-quality 3D shapes from single-view image inputs in just 2-4 seconds. The model uses a wavelet-based compact latent encoding and a billion-parameter architecture to achieve superior performance in terms of geometric detail and structural plausibility.
+WaLa-SV-1B is a large-scale 3D generative model trained on a massive dataset of over 10 million publicly-available 3D shapes. It can efficiently generate a wide range of high-quality 3D shapes from single-view image inputs in just 2.5 seconds. The model uses a wavelet-based compact latent encoding and a billion-parameter architecture to achieve superior performance in terms of geometric detail and structural plausibility.
 
 - **Developed by:** Aditya Sanghi, Aliasghar Khani, Chinthala Pradyumna Reddy, Arianna Rampini, Derek Cheung, Kamal Rahimi Malekshan, Kanika Madan, Hooman Shayani
 - **Model type:** 3D Generative Model
@@ -26,15 +26,15 @@ For more information please look at the [Project](TBD) [Page](TBD) and [the pape
 
 ### Model Sources
 
-- **Repository:** [TBD]
-- **Paper:** [ArXiv:TBD]
-- **Demo:** [TBD]
+- **Repository:** [Github](https://github.com/AutodeskAILab/WaLa)
+- **Paper:** [ArXiv:TBD](TBD)
+- **Demo:** [TBD](TBD)
 
 ## Uses
 
 ### Direct Use
 
-This model is released by Autodesk and intended for academic and research purposes only for the theoretical exploration and demonstration of the WaLa 3D generative framework.  Please see [here](TBD) for inferencing instructions. 
+This model is released by Autodesk and intended for academic and research purposes only for the theoretical exploration and demonstration of the WaLa 3D generative framework. Please see [here](TBD) for inferencing instructions. 
 
 ### Out-of-Scope Use
 
@@ -119,7 +119,7 @@ On the MAS validation dataset:
 
 ### Model Architecture and Objective
 
-The model uses a U-ViT architecture with modifications. It employs a wavelet-based compact latent encoding to effectively capture both coarse and fine details of 3D shapes.
+TThe model uses a U-ViT architecture with modifications. It employs a wavelet-based compact latent encoding to effectively capture both coarse and fine details of 3D shapes from single-view inputs. The input view is processed through the DINO v2 encoder to extract feature representations, which then serve as the condition latent vectors for the generative model.
 
 ### Compute Infrastructure