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20242026
most cited3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting

60 citations · 60 across the 14 of their papers we have counts for

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cs.CV2024

Deformable Radial Kernel Splatting

Yi-Hua Huang, Ming-Xian Lin, Yang-Tian Sun +4

Recently, Gaussian splatting has emerged as a robust technique for representing 3D scenes, enabling real-time rasterization and high-fidelity rendering. However, Gaussians' inheren…

cs.CV2024

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix

Peng Dai, Feitong Tan, Qiangeng Xu +5

Video generation models have demonstrated great capabilities of producing impressive monocular videos, however, the generation of 3D stereoscopic video remains under-explored. We p…

cs.CV2024

Splatter a Video: Video Gaussian Representation for Versatile Processing

Yang-Tian Sun, Yi-Hua Huang, Lin Ma +3

Video representation is a long-standing problem that is crucial for various down-stream tasks, such as tracking,depth prediction,segmentation,view synthesis,and editing. However, c…

cs.CV2024★ 60 cited

3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting

Xiaoyang Lyu, Yang-Tian Sun, Yi-Hua Huang +5

In this paper, we present an implicit surface reconstruction method with 3D Gaussian Splatting (3DGS), namely 3DGSR, that allows for accurate 3D reconstruction with intricate detai…

cs.CV2024

Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction

Xiaoyang Lyu, Chirui Chang, Peng Dai +2

Scene reconstruction from multi-view images is a fundamental problem in computer vision and graphics. Recent neural implicit surface reconstruction methods have achieved high-quali…

cs.CV2024

DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos

Xiuzhe Wu, Xiaoyang Lyu, Qihao Huang +4

Although considerable advancements have been attained in self-supervised depth estimation from monocular videos, most existing methods often treat all objects in a video as static…