"Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models", Hanwen Liang*, Yuyang Yin*, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei
This is an open collection of state-of-the-art (SOTA), novel Text to X (X can be everything) methods (papers, codes and datasets).
"Comp4D: Compositional 4D Scene Generation", Dejia Xu*, Hanwen Liang*, Neel P. Bhatt, Hezhen Hu, Hanxue Liang, Konstantinos N. Plataniotis, and Zhangyang Wang
Official PyTorch implementation of "A Unified Approach for Text- and Image-guided 4D Scene Generation", [CVPR 2024]
Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis
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