Overview

3D mesh reconstruction estimates a connected surface from inputs such as single or multiple images, video, depth scans, LiDAR, and medical volumes. Methods include geometric fusion and surface fitting, parametric templates for people and faces, and neural approaches that extract meshes from implicit fields or 3D Gaussian splats; newer feed-forward and generative models aim to handle sparse views and large scenes quickly. Evaluations commonly use geometric measures such as Chamfer distance and F-score alongside rendering quality, topology, and performance on tasks such as grasping or physical simulation, with datasets including DTU and Tanks and Temples. A central challenge is that a visually convincing rendering may hide inaccurate, incomplete, or non-watertight geometry, so balancing appearance, surface fidelity, physical usability, and reliable evaluation remains an open tension.

Latest papers

CardsList

109 papers13 papers in the last four weeks, up 86% on the four weeks before. 0.1% of all new papers.

  1. Confidence-Based Mesh Extraction from 3D Gaussians

    Mar 25, 2026Lukas Radl, Felix Windisch, Andreas Kurz +33D Mesh Reconstruction3D Gaussian Splatting

  2. TopoMesh: High-Fidelity Mesh Autoencoding via Topological Unification

    Mar 25, 2026Guan Luo, Xiu Li, Rui Chen +6AutoencodersVariational Autoencoders

  3. HGGT: Robust and Flexible 3D Hand Mesh Reconstruction from Uncalibrated Images

    Mar 25, 2026Yumeng Liu, Xiao-Xiao Long, Marc Habermann +53D Hand Reconstruction3D Mesh Reconstruction

  4. High-fidelity Multi-view Normal Integration with Scale-encoded Neural Surface Representation

    Mar 20, 2026Tongyu Yang, Heng Guo, Yasuyuki Matsushita +3Multi-View 3D Reconstruction3D Mesh Reconstruction

  5. FTSplat: Feed-forward Triangle Splatting Network

    Mar 6, 2026Xiong Jinlin, Li Can, Shen Jiawei +3Feed-Forward 3D ReconstructionMulti-View 3D Reconstruction

  6. MultiGO++: Monocular 3D Clothed Human Reconstruction via Geometry-Texture Collaboration

    Mar 5, 2026Nanjie Yao, Gangjian Zhang, Wenhao Shen +33D ReconstructionMonocular 3D Reconstruction

  7. A 3D mesh convolution-based autoencoder for geometry compression

    Mar 2, 2026Germain Bregeon, Marius Preda, Radu Ispas +1Convolutional Autoencoder3D Mesh Reconstruction

  8. HumanOrbit: 3D Human Reconstruction as 360° Orbit Generation

    Feb 27, 2026Keito Suzuki, Kunyao Chen, Lei Wang +5Multi-View Image Synthesis3D Human Reconstruction

  9. SwiftNDC: Fast Neural Depth Correction for High-Fidelity 3D Reconstruction

    Feb 26, 2026Kang Han, Wei Xiang, Lu Yu +33D ReconstructionMulti-View 3D Reconstruction

  10. BigMaQ: A Big Macaque Motion and Animation Dataset Bridging Image and 3D Pose Representations

    Feb 23, 2026Lucas Martini, Alexander Lappe, Anna Bognár +2Video Action RecognitionMarkerless Motion Capture

  11. Benchmarking the Effects of Object Pose Estimation and Reconstruction on Robotic Grasping Success

    Feb 19, 2026Varun Burde, Pavel Burget, Torsten SattlerRobot Manipulation BenchmarksRobotic Grasping

  12. Enhancing Monocular 3D Hand Reconstruction with Learned Texture Priors

    Aug 13, 2025Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis +23D Hand Pose Estimation3D Reconstruction

  13. MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images

    Jun 11, 2025Chentao Song, He Zhang, Haolei Yuan +4Metric Depth Estimation3D Reconstruction

  14. Sonicmesh: Enhancing 3D Human Mesh Reconstruction in Vision-Impaired Environments With Acoustic Signals

    Dec 15, 2024Xiaoxuan Liang, Hong Zhou, Zhaolong Wei +33D ReconstructionHuman Mesh Recovery