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hw-liang authored Jun 21, 2024
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Expand Up @@ -4,19 +4,19 @@ The official implementation of work "Diffusion4D: Fast Spatial-temporal Consiste

[[Project Page]](https://vita-group.github.io/Diffusion4D/) | [[Arxiv]](https://arxiv.org/abs/2405.16645) | [[Video (Youtube)]](https://www.youtube.com/watch?v=XJT-cMt_xVo) | [[Video (results)]](https://www.youtube.com/watch?v=sg7uUUfpM-c) | [[视频 (Bilibili)]](https://b23.tv/ojVe6Uv) | [[Huggingface Dataset]](https://huggingface.co/datasets/hw-liang/Diffusion4D)

## 3D-to-4D
# 3D-to-4D
https://github.com/VITA-Group/Diffusion4D/assets/28423825/ed12abfc-dc41-43dd-822e-34a5dfdba426



## News
# 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 and data preparation code!
- 2024.5.26: Released on arxiv!



## 4D Dataset Preparation
# 4D Dataset Preparation
![dataset_video](./assets/dataset_web.gif)

We collect a large-scale, high-quality dynamic 3D(4D) dataset sourced from the
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