5 papers
CP4D: Compositional Physics-aware 4D Scene Generation
Hanxin Zhu, Cong Wang, Tianyu He +4
4D generation (\textit{i.e.}, dynamic 3D generation) has recently emerged as a rapidly growing research frontier due to its powerful spatiotemporal modeling capabilities. However,…
Sonic4D: Spatial Audio Generation for Immersive 4D Scene Exploration
Siyi Xie, Hanxin Zhu, Xinyi Chen +3
Recent advancements in 4D generation have demonstrated its remarkable capability in synthesizing photorealistic renderings of dynamic 3D scenes. However, despite achieving impressi…
AR4D: Autoregressive 4D Generation from Monocular Videos
Hanxin Zhu, Tianyu He, Xiqian Yu +3
Recent advancements in generative models have ignited substantial interest in dynamic 3D content creation (\ie, 4D generation). Existing approaches primarily rely on Score Distilla…
GSemSplat: Generalizable Semantic 3D Gaussian Splatting from Uncalibrated Image Pairs
Xingrui Wang, Cuiling Lan, Hanxin Zhu +2
Modeling and understanding the 3D world is crucial for various applications, from augmented reality to robotic navigation. Recent advancements based on 3D Gaussian Splatting have i…
End-to-End Rate-Distortion Optimized 3D Gaussian Representation
Henan Wang, Hanxin Zhu, Tianyu He +4
3D Gaussian Splatting (3DGS) has become an emerging technique with remarkable potential in 3D representation and image rendering. However, the substantial storage overhead of 3DGS…