11 papers
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…
CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
Kaiqiang Xiong, Rui Peng, Zhe Zhang +4
Unsupervised Multi-View Stereo (MVS) methods have achieved promising progress recently. However, previous methods primarily depend on the photometric consistency assumption, which…
MVD-HuGaS: Human Gaussians from a Single Image via 3D Human Multi-view Diffusion Prior
Kaiqiang Xiong, Ying Feng, Qi Zhang +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…
Disentangled Generation and Aggregation for Robust Radiance Fields
Shihe Shen, Huachen Gao, Wangze Xu +5
The utilization of the triplane-based radiance fields has gained attention in recent years due to its ability to effectively disentangle 3D scenes with a high-quality representatio…
Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction
Rui Peng, Shihe Shen, Kaiqiang Xiong +4
Reconstructing the high-fidelity surface from multi-view images, especially sparse images, is a critical and practical task that has attracted widespread attention in recent years.…
HDRGS: High Dynamic Range Gaussian Splatting
Jiahao Wu, Lu Xiao, Rui Peng +2
Recent years have witnessed substantial advancements in the field of 3D reconstruction from 2D images, particularly following the introduction of the neural radiance field (NeRF) t…