11 papers · 1 filter
ATGS: Anchored Temporal Gaussian Splatting for Long Volumetric Video Representation
Jiahao Wu, Jie Liang, Die Hu +6
Volumetric video enables immersive free viewpoint rendering of dynamic real world scenes, yet existing methods struggle with long sequences and complex motions, often leading to te…
ClipGStream: Clip-Stream Gaussian Splatting for Any Length and Any Motion Multi-View Dynamic Scene Reconstruction
Jie Liang, Jiahao Wu, Chao Wang +7
Dynamic 3D scene reconstruction is essential for immersive media such as VR, MR, and XR, yet remains challenging for long multi-view sequences with large-scale motion. Existing dyn…
Intrinsic Geometry-Appearance Consistency Optimization for Sparse-View Gaussian Splatting
Kaiqiang Xiong, Rui Peng, Jiahao Wu +5
3D human reconstruction from a single image is a challenging problem and has been exclusively studied in the literature. Recently, some methods have resorted to diffusion models fo…
Multimodal-Prior-Guided Importance Sampling for Hierarchical Gaussian Splatting in Sparse-View Novel View Synthesis
Kaiqiang Xiong, Zhanke Wang, Ronggang Wang
We present multimodal-prior-guided importance sampling as the central mechanism for hierarchical 3D Gaussian Splatting (3DGS) in sparse-view novel view synthesis. Our sampler fuses…
LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling
Jiahao Wu, Rui Peng, Jianbo Jiao +7
Due to the complex and highly dynamic motions in the real world, synthesizing dynamic videos from multi-view inputs for arbitrary viewpoints is challenging. Previous works based on…
Swift4D:Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene
Jiahao Wu, Rui Peng, Zhiyan Wang +5
Novel view synthesis has long been a practical but challenging task, although the introduction of numerous methods to solve this problem, even combining advanced representations li…