2 citations · 2 across the 2 of their papers we have counts for
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MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation
Aviral Chharia, Wenbo Gou, Haoye Dong
While significant progress has been made in single-view 3D human pose estimation, multi-view 3D human pose estimation remains challenging, particularly in terms of generalizing to…
DuCos: Duality Constrained Depth Super-Resolution via Foundation Model
Zhiqiang Yan, Zhengxue Wang, Haoye Dong +3
We introduce DuCos, a novel depth super-resolution framework grounded in Lagrangian duality theory, offering a flexible integration of multiple constraints and reconstruction objec…
CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting
Siyu Jiao, Haoye Dong, Yuyang Yin +5
Recent works in 3D multimodal learning have made remarkable progress. However, typically 3D multimodal models are only capable of handling point clouds. Compared to the emerging 3D…
Learnable Infinite Taylor Gaussian for Dynamic View Rendering
Bingbing Hu, Yanyan Li, Rui Xie +4
Capturing the temporal evolution of Gaussian properties such as position, rotation, and scale is a challenging task due to the vast number of time-varying parameters and the limite…
Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models
Zhibin Liu, Haoye Dong, Aviral Chharia +1
Generating lifelike 3D humans from a single RGB image remains a challenging task in computer vision, as it requires accurate modeling of geometry, high-quality texture, and plausib…
Generalizable Human Gaussians for Sparse View Synthesis
Youngjoong Kwon, Baole Fang, Yixing Lu +9
Recent progress in neural rendering has brought forth pioneering methods, such as NeRF and Gaussian Splatting, which revolutionize view rendering across various domains like AR/VR,…