Update README.md

README.md

@@ -16,7 +16,7 @@ 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 curate the source dataset. You can find more details in our [paper](https://arxiv.org/abs/2405.16645). 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. Rendered 4D images by our team to save you GPU time.
+3. [Rendered 4D images](https://huggingface.co/datasets/hw-liang/Diffusion4D/tree/main/objaverse1.0_curated) by our team to save you GPU time. 
 
 ## 4D Dataset ID/Metadata
 We collect 365k dynamic 3D assets from Objaverse-1.0 (42k) and Objaverse-xl (323k). We curate a high-quality subset to train our models. With objaverse-1.0, we provide the selected 11k ids in `rendering/src/ObjV1_curated.txt`. Uncurated 42k IDs of all the animated objects from objaverse-1.0 are in `rendering/src/ObjV1_all_animated.txt`.