4 citations · 14 across the 8 of their papers we have counts for
8 papers
V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians
Penghao Wang, Zhirui Zhang, Liao Wang +5
Experiencing high-fidelity volumetric video as seamlessly as 2D videos is a long-held dream. However, current dynamic 3DGS methods, despite their high rendering quality, face chall…
Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos
Yuheng Jiang, Zhehao Shen, Yu Hong +5
Volumetric video represents a transformative advancement in visual media, enabling users to freely navigate immersive virtual experiences and narrowing the gap between digital and…
SCOPE: Sign Language Contextual Processing with Embedding from LLMs
Yuqi Liu, Wenqian Zhang, Sihan Ren +3
Sign languages, used by around 70 million Deaf individuals globally, are visual languages that convey visual and contextual information. Current methods in vision-based sign langua…
Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR
Peishan Cong, Yiteng Xu, Yiming Ren +5
Depth estimation is usually ill-posed and ambiguous for monocular camera-based 3D multi-person pose estimation. Since LiDAR can capture accurate depth information in long-range sce…
Human Performance Modeling and Rendering via Neural Animated Mesh
Fuqiang Zhao, Yuheng Jiang, Kaixin Yao +8
We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mes…
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds
Jialian Li, Jingyi Zhang, Zhiyong Wang +6
Existing motion capture datasets are largely short-range and cannot yet fit the need of long-range applications. We propose LiDARHuman26M, a new human motion capture dataset captur…