mlsanityData to 7 Oct 2026

What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives

arXiv 2211.06009 ↗First posted 11 Nov 2022cs.AI cs.CGcited by 9

Not on the map. Why?

Abstract (arXiv)

Intelligent Mesh Generation (IMG) represents a novel and promising field of research, utilizing machine learning techniques to generate meshes. Despite its relative infancy, IMG has significantly broadened the adaptability and practicality of mesh generation techniques, delivering numerous breakthroughs and unveiling potential future pathways. However, a noticeable void exists in the contemporary literature concerning comprehensive surveys of IMG methods. This paper endeavors to fill this gap by providing a systematic and thorough survey of the current IMG landscape. With a focus on 113 preliminary IMG methods, we undertake a meticulous analysis from various angles, encompassing core algorithm techniques and their application scope, agent learning objectives, data types, targeted challenges, as well as advantages and limitations. We have curated and categorized the literature, proposing three unique taxonomies based on key techniques, output mesh unit elements, and relevant input data types. This paper also underscores several promising future research directions and challenges in IMG. To augment reader accessibility, a dedicated IMG project page is available at urlhttps://github.com/xzb030/IMGSurvey.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 118 of its 215 references that are in the map. First posted on arXiv 11 Nov 2022.

Builds on

118 of 215 references.

References · 118

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38 more
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50 most cited of 118 All 118 (JSON)

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 3; 2025: 2; 2026: 2.

9 papers.

  1. 2023Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformercited by 18
  2. 20243D Shape Completion on Unseen Categories:A Weakly-supervised Approachcited by 6
  3. 2025Is Single-View Mesh Reconstruction Ready for Robotics?cited by 6
  4. 2025Point2Quad: Generating Quad Meshes from Point Clouds via Face Predictioncited by 4
  5. 2024MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Predictioncited by 2
  6. 2023MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attentioncited by 1
  7. 2024HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generationcited by 1
  8. 2026Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generationcited by 1
  9. 2026MME: Mixture of Mesh Experts with Random Walk Transformer Gatingcited by 0