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20242026
most cited2DGH: 2D Gaussian-Hermite Splatting for High-quality Rendering and Better Geometry Features

2 citations · 2 across the 3 of their papers we have counts for

collaborators

11 papers

cs.CV20262 cited

2DGH: 2D Gaussian-Hermite Splatting for High-quality Rendering and Better Geometry Features

Ruihan Yu, Tianyu Huang, Jingwang Ling +1

2D Gaussian Splatting has recently emerged as a significant method in 3D reconstruction, enabling novel view synthesis and geometry reconstruction simultaneously. While the well-kn…

cs.CV2026

Diffusion-Based Material Regularization for Physics-Based Inverse Rendering

Jingwang Ling, Lifan Wu, Feng Xu +1

Reconstructing physics-based 3D assets -- geometry, materials, and illumination -- from multi-view images is a core problem in computer graphics and vision, and a prerequisite for…

cs.CV2026

Rethinking Multimodal Few-Shot 3D Point Cloud Segmentation: From Fused Refinement to Decoupled Arbitration

Wentao Bian, Fenglei Xu

In this paper, we revisit multimodal few-shot 3D point cloud semantic segmentation (FS-PCS), identifying a conflict in "Fuse-then-Refine" paradigms: the "Plasticity-Stability Dilem…

cs.CV2026

WildCap: Facial Albedo Capture in the Wild via Hybrid Inverse Rendering

Yuxuan Han, Xin Ming, Tianxiao Li +4

Existing methods achieve high-quality facial albedo capture under controllable lighting, which increases capture cost and limits usability. We propose WildCap, a novel method for h…

cs.CV2026

Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction

Zhengquan Zhang, Feng Xu, Mengmi Zhang

Some perspectives naturally provide more information than others. How can an AI system determine which viewpoint offers the most valuable insight for accurate and efficient 3D obje…

cs.CV2025

VGGTFace: Topologically Consistent Facial Geometry Reconstruction in the Wild

Xin Ming, Yuxuan Han, Tianyu Huang +1

Reconstructing topologically consistent facial geometry is crucial for the digital avatar creation pipelines. Existing methods either require tedious manual efforts, lack generaliz…