Update README.md

README.md

@@ -20,7 +20,7 @@ size_categories:
 [[Project Page]](https://vita-group.github.io/Diffusion4D/) | [[Code]](https://github.com/VITA-Group/Diffusion4D) | 
 
 ## News
-
+- 2024.6.4:  Released rendered data from curated [objaverse-1.0](https://huggingface.co/datasets/hw-liang/Diffusion4D/tree/main/objaverse1.0_curated), including orbital videos of dynamic 3D, orbital videos of static 3D, and monocular videos from front view.
 - 2024.5.27: Released metadata for objects!
 
 ## Overview
@@ -29,7 +29,7 @@ We collect a large-scale, high-quality dynamic 3D(4D) dataset sourced from the
 vast 3D data corpus of [Objaverse-1.0](https://objaverse.allenai.org/objaverse-1.0/) and [Objaverse-XL](https://github.com/allenai/objaverse-xl). We apply a series of empirical rules to filter the dataset. You can find more details in our paper. In this part, we will release the selected 4D assets, including:
 1. Selected high-quality 4D object ID.
 2. A render script using Blender, providing optional settings to render your personalized data.
-3. (To be uploaded) Rendered 4D images by our team to save your GPU time.
+3. Rendered 4D images by our team to save your GPU time.
 
 ## 4D Dataset ID/Metadata
 We collect 365k dynamic 3D assets from Objaverse-1.0 (42k) and Objaverse-xl (323k).