"surface reconstruction" Papers

22 papers found

A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions

Jiangbei Hu, Yanggeng Li, Fei Hou et al.

CVPR 2025arXiv:2407.01330
3
citations

Anti-Aliased 2D Gaussian Splatting

Mae Younes, Adnane Boukhayma

NEURIPS 2025arXiv:2506.11252
3
citations

DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes

Chensheng Peng, Chengwei Zhang, Yixiao Wang et al.

CVPR 2025arXiv:2411.11921
30
citations

FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency

Han Huang, Yulun Wu, Chao Deng et al.

AAAI 2025paperarXiv:2501.04628
18
citations

GauSTAR: Gaussian Surface Tracking and Reconstruction

Chengwei Zheng, Lixin Xue, Juan Jose Zarate et al.

CVPR 2025arXiv:2501.10283
7
citations

Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation

Takeshi Noda, Chao Chen, Junsheng Zhou et al.

CVPR 2025arXiv:2503.23670
7
citations

MGSR: 2D/3D Mutual-boosted Gaussian Splatting for High-fidelity Surface Reconstruction under Various Light Conditions

Qingyuan Zhou, Yuehu Gong, Weidong Yang et al.

ICCV 2025arXiv:2503.05182
2
citations

ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction

Ziyu Tang, Weicai Ye, Yifan Wang et al.

ICLR 2025arXiv:2408.12598
9
citations

Quadratic Gaussian Splatting: High Quality Surface Reconstruction with Second-order Geometric Primitives

ziyu zhang, Binbin Huang, Hanqing Jiang et al.

ICCV 2025arXiv:2411.16392
10
citations

Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views

Yulun Wu, Han Huang, Wenyuan Zhang et al.

AAAI 2025paperarXiv:2501.01196
5
citations

Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views

Jiang Wu, Rui Li, Yu Zhu et al.

CVPR 2025arXiv:2504.20378
8
citations

An Adaptive Screen-Space Meshing Approach for Normal Integration

Moritz Heep, Eduard Zell

ECCV 2024arXiv:2409.16907
3
citations

A Probability-guided Sampler for Neural Implicit Surface Rendering

Gonçalo José Dias Pais, Valter André Piedade, Moitreya Chatterjee et al.

ECCV 2024arXiv:2506.08619
1
citations

Discontinuity-preserving Normal Integration with Auxiliary Edges

Hyomin Kim, Yucheol Jung, Seungyong Lee

CVPR 2024arXiv:2404.03138
3
citations

Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction

K. Chan, Fayao Liu, Guosheng Lin et al.

AAAI 2024paperarXiv:2402.19197
4
citations

GridFormer: Point-Grid Transformer for Surface Reconstruction

Shengtao Li, Ge Gao, Yudong Liu et al.

AAAI 2024paperarXiv:2401.02292
22
citations

GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

Yaniv Wolf, Amit Bracha, Ron Kimmel

ECCV 2024arXiv:2404.01810
63
citations

In-Hand 3D Object Reconstruction from a Monocular RGB Video

Shijian Jiang, Qi Ye, Rengan Xie et al.

AAAI 2024paperarXiv:2312.16425
9
citations

NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views

Han Huang, Yulun Wu, Junsheng Zhou et al.

AAAI 2024paperarXiv:2312.13977
36
citations

Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction

Zijie Jiang, Tianhan Xu, Hiroharu Kato

ECCV 2024arXiv:2409.06923
3
citations

Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images

Zhangjin Huang, Zhihao Liang, Kui Jia

ECCV 2024
8
citations

Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes

YuJie Lu, Long Wan, Nayu Ding et al.

CVPR 2024arXiv:2403.01414
10
citations