3D Reconstruction

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82 papers in the last four weeks, up 134% on the four weeks before. 0.5% of all new papers.

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Optimizing 3D Gaussian Splatting via Point Cloud Upsampling
May 30, 2026Adrian Ramlal, Yan Song Hu, John S. Zelek3D Gaussian Splatting 3D Reconstruction
Vision and Image Processing Group, Systems Design Engineering, University of Waterloo
Real-Time Physics Simulation with Dynamic Mesh-Gaussian Reconstructions
May 30, 2026Adrian Ramlal, John S. Zelek3D Reconstruction Dynamic Scene Reconstruction
University of Waterloo
ScaRF-SLAM: Scale-Consistent Reconstruction with Feed-Forward Models and Classical Visual SLAM
May 29, 2026Yuhao Zhang, Yifu Tao, Frank Dellaert +13D Reconstruction Visual SLAM
Oxford Robotics Institute, University of Oxford, UK · School of Interactive Computing, Georgia Institute of Technology, USA
SurGe: Improved Surface Geometry in Point Maps
May 29, 2026Karim Knaebel, Gonzalo Martin Garcia, Christian Schmidt +43D Reconstruction Monocular 3D Reconstruction
RWTH Aachen University · Eindhoven University of Technology
Feature-Optimized Vision for Adaptive 3D Scene Reconstruction
May 29, 2026Eric Liang3D Reconstruction Multi-View 3D Reconstruction
Oracle
VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching
May 29, 2026Tuan Duc Ngo, Chuang Gan, Evangelos Kalogerakis3D Reconstruction 3D Scene Representation
UMass Amherst · 2TU Crete
Triangle Splatting SLAM
May 29, 2026Nicholas Fry, Eric Dexheimer, Kirill Mazur +2Simultaneous Localization and Mapping 3D Reconstruction
Software Performance Optimisation Group, Imperial College London · Department of Computing, Imperial College London
CoMo3R-SLAM: Collaborative Monocular Dense SLAM with Learned 3D Reconstruction Priors for Outdoor Multi-Agent Systems
May 28, 2026Zhihao Cao, Qi Shao, Shuhao Zhai +4Simultaneous Localization and Mapping Multi-Robot Systems
ETH Zurich, Switzerland · Harbin Engineering University, China · University of Liverpool, United Kingdom +4
REST3D: Reconstructing Physically Stable 3D Scenes from a Single Image
May 28, 2026Xiaoxuan Ma, Jiashun Wang, Nicolas Ugrinovic +23D Reconstruction 3D Scene Representation
Carnegie Mellon University
MonoPhysics: Estimating Geometry, Appearance, and Physical Parameters from Monocular Videos
May 28, 2026Daniel Rho, Jun Myeong Choi, Matthew Thornton +23D Reconstruction Monocular 3D Reconstruction
University of North Carolina at Chapel Hill · Meta
City-Mesh3R: Simulation-Ready City-Scale 3D Mesh Reconstruction from Multi-View Images
May 28, 2026Sayan Paul, Sourav Ghosh, Siddharth Katageri +33D Reconstruction Multi-View 3D Reconstruction
Visual Computing & Embodied AI Lab, TCS Research, India
SAM3D-Phys: Towards Multi-Object Interactive Simulation in Real World
May 28, 2026Xin Dong, Weijian Deng, Lihan Zhang +33D Reconstruction 3D Mesh Reconstruction
Shenzhen International Graduate School, Tsinghua University · Pengcheng Laboratory
FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
May 28, 2026Yihang Tao, Yu Guo, Zhengru Fang +23D Gaussian Splatting 3D Reconstruction
Hong Kong JC STEM Lab of Smart City, City University of Hong Kong
Mesh-Aware Epipolar Matching for Multi-View Multi-Person 3D Pose Estimation in Basketball
May 28, 2026Li Yin, Qin Haobin, Tomohiro Suzuki +3Multi-View Geometry 3D Reconstruction
Graduate School of Informatics, Nagoya University, Chikusa-ku, Nagoya, Aichi, Japan. · Department of Information Engineering, Faculty of Science and Technology, Keio University, Hiyoshi, Yokohama, Kanagawa, Japan. · RIKEN Center for Advanced Intelligence Project, 1-5, Yamadaoka, Suita, Osaka, Japan.
S2MDF: A Plug-And-Play Layer for Intersection-Free Multi-Object Signed Distance Fields
May 28, 2026Deniz Sayin Mercadier, Federico Stella, Aurel Bizeau +2Signed Distance Functions 3D Reconstruction
CVLab, Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne, Switzerland
Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning
May 28, 2026Yiyao Ma, Kai Chen, Zhongxiang Zhou +53D Reconstruction Monocular 3D Reconstruction
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China · Zhejiang Innovation Center for Humanoid Robotics, Ningbo, China · State Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou, China
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling
May 28, 2026Zheng Fang, Junjie Liu, Kangjun Liu +33D Reconstruction Wireless Communications
Pengcheng Laboratory, China · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China · Harbin Institute of Technology, Shenzhen, China
ParCo-SDF: Learning Prior-Free Partial-to-Complete Signed Distance Fields of Deformable Objects
May 28, 2026Deokmin Hwang, Minseok Song, Daehyung ParkImplicit Neural Representations 3D Reconstruction
School of Computing, Korea Advanced Institute of Science and Technology, Korea
V2I Work Zone Geometry Reconstruction with Pose-Conditioned UWB Range Denoising
May 28, 2026Jiaxi Liu, Hangyu Li, Yang Cheng +73D Reconstruction Wireless Communications
Department of Civil & Environmental Engineering, University of Wisconsin-Madison, Madison, 53706, Wisconsin, United States
Seeing through boxes: Non-Line-of-Sight 3D Reconstruction from Radar Signals
May 27, 2026Jiachen Lu, Hailan Shanbhag, Haitham Al HassaniehNeural Representation Geometry 3D Reconstruction
Ecole Polytechnique F´ed´erale de Lausanne (EPFL)
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
May 27, 2026Jiachen Lu, Hailan Shanbhag, Haitham Al HassaniehImplicit Neural Representations 3D Reconstruction
École Polytechnique Fédérale de Lausanne (EPFL)
CLEAR-NeRF: Collinearity and Local-region Enhanced Accurate 3D Reconstruction in Unbounded Scenes
May 27, 2026Vladislav Polianskii, Elijs Dima, Isabel Salmerón Marazuela +33D Reconstruction Multi-View 3D Reconstruction
Ericsson Research, Stockholm, Sweden
G3T Up! Gravity Aligned Coordinate Frames Simplify Pointmap Processing
May 26, 2026Bharath Raj Nagoor Kani, Noah Snavely3D Reconstruction Camera Pose Estimation
Cornell University
DinoComplete: 3D Shape Completion with Distilled Semantic Priors and State Space Models
May 26, 2026Furkan Mert Algan, Eckehard Steinbach3D Reconstruction 3D Shape Completion
Chair of Media Technology · Munich Institute of Robotics and Machine Intelligence · School of Computation Information and Technology, Technical University of Munich
Object Pose and Shape Estimation for Grasping: Does it Work?
May 26, 2026Pavan Karke, Kushal Shah, Gaurav Singh +3Robotic Grasping 3D Reconstruction
Robotics Research Center, IIIT Hyderabad · National University of Singapore
I2PRef: Image-Driven Point Completion with Iterative Refinement
May 26, 2026Azhar Hussian, Marina Ritthaler, André Kaup +1Point Cloud Completion 3D Reconstruction
Friedrich-Alexander-Universität Erlangen-Nürnberg
DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction
May 26, 2026Fuzhen Jiang, Zengtian Xie, Zhuoran Li3D Gaussian Splatting 3D Reconstruction
Hangzhou Dianzi University · Hangzhou, China · Zhuhai College of Science and Technology +1
Gaussian-Voxel Duet: A Dual-Scaffolding Hybrid Representation for Fast and Accurate Monocular Surface Reconstruction
May 26, 2026Zhenhua Du, Zhen Tan, Haoyu Zhang +33D Gaussian Splatting 3D Reconstruction
Zhejiang University · Westlake University · National University of Defense Technology
$R^3$ : 3D Reconstruction via Relative Regression
May 26, 2026Congrong Xu, Huachen Gao, Xingyu Chen +3Relative Pose Estimation Streaming 3D Reconstruction
University of Michigan · Westlake University · NVIDIA
Underwater360: Reconstructing Underwater Scenes from Panoramic Images with Omnidirectional Gaussian Splatting
May 26, 2026Jiangbei Hu, Weichao Song, Shibo Yu +83D Gaussian Splatting Underwater Imaging
School of Software, Dalian University of Technology · College of Computing and Data Science, Nanyang Technological University

May 30, 2026, cs.CVJ/K move · Enter open · S save

Optimizing 3D Gaussian Splatting via Point Cloud Upsampling

Adrian Ramlal, Yan Song Hu, John S. Zelek

Vision and Image Processing Group, Systems Design Engineering, University of Waterloo

3D Gaussian Splatting 3D Reconstruction

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3D Gaussian Splatting (3DGS) is a technique for creating and rendering 3D scenes, however its performance depends heavily on the quality of initial seed points. To improve 3DGS initialization, this study presents and evaluates several point cloud upsampling approaches: linear interpolation, triangular interpolation, spline-based surface reconstruction, moving least squares surface fitting, and Voronoi-based point generation. Additionally, this research introduces a depth-guided point lifting method that leverages depth maps to maintain geometric consistency with Structure-from-Motion (SfM) reconstructions. Through extensive experiments on the Mip-NeRF360 and Replica datasets, the proposed methods demonstrate improvements in reconstruction quality across diverse scene types. Results indicate that different upsampling strategies excel in different scenarios: surface reconstruction methods perform better with organic, detailed scenes, while simpler interpolation approaches are more suited for scenes dominated by piecewise-smooth geometries. In comparison, the depth-guided approach shows promise for adding geometry-aware points across the entire scene, importantly in texture-less regions. These findings, which provide preliminary practical guidelines for selecting appropriate upsampling methods based on scene characteristics and computational constraints, advances the understanding of how point cloud initialization affects 3DGS quality.

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Latest papers 608