ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.01161
  4. Cited By
Reconstructing editable prismatic CAD from rounded voxel models

Reconstructing editable prismatic CAD from rounded voxel models

2 September 2022
Joseph G. Lambourne
Karl D. D. Willis
P. Jayaraman
Longfei Zhang
Aditya Sanghi
Kamal Rahimi Malekshan
ArXivPDFHTML

Papers citing "Reconstructing editable prismatic CAD from rounded voxel models"

27 / 27 papers shown
Title
CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation
CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation
Jiahao Li
Weijian Ma
Xueyang Li
Yunzhong Lou
G. Zhou
Xiangdong Zhou
32
0
0
07 May 2025
HoLa: B-Rep Generation using a Holistic Latent Representation
HoLa: B-Rep Generation using a Holistic Latent Representation
Yilin Liu
Duoteng Xu
Xingyao Yu
Xiang Xu
Daniel Cohen-Or
Hao Zhang
Hui Huang
AI4CE
16
0
0
19 Apr 2025
DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry
DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry
Jing Li
Yihang Fu
Falai Chen
AI4CE
50
0
0
17 Mar 2025
CADDreamer: CAD Object Generation from Single-view Images
CADDreamer: CAD Object Generation from Single-view Images
Yuan Li
Cheng Lin
Yuan Liu
Xiaoxiao Long
Chenxu Zhang
Ningna Wang
Xin Li
Wenping Wang
X. Guo
DiffM
71
1
0
28 Feb 2025
NeuroNURBS: Learning Efficient Surface Representations for 3D Solids
Jiajie Fan
Babak Gholami
Thomas Bäck
Hao Wang
AI4CE
3DV
28
0
0
16 Nov 2024
CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM
CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM
Jingwei Xu
Chenyu Wang
Zibo Zhao
Wen Liu
Yi-An Ma
Shenghua Gao
50
13
0
07 Nov 2024
Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level
  Text Prompts
Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts
Mohammad Sadil Khan
Sankalp Sinha
Talha Uddin Sheikh
Didier Stricker
Sk Aziz Ali
Muhammad Zeshan Afzal
31
11
0
25 Sep 2024
Img2CAD: Reverse Engineering 3D CAD Models from Images through
  VLM-Assisted Conditional Factorization
Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization
R. Shams
Mikaela Angelina Uy
Jiaqi Han
Rahul Thomas
Haotong Zhang
Muneera Bano
Leonidas J. Guibas
47
10
0
19 Jul 2024
TransCAD: A Hierarchical Transformer for CAD Sequence Inference from
  Point Clouds
TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds
Elona Dupont
K. Cherenkova
Dimitrios Mallis
Gleb Gusev
Anis Kacem
Djamila Aouada
3DPC
25
5
0
17 Jul 2024
MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images
MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images
Eunji Hong
Minh Hieu Nguyen
Mikaela Angelina Uy
Minhyuk Sung
3DPC
35
1
0
16 Jun 2024
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning
Yilin Liu
Jiale Chen
Shanshan Pan
Daniel Cohen-Or
Hao Zhang
Hui Huang
3DPC
30
5
0
07 Jun 2024
PS-CAD: Local Geometry Guidance via Prompting and Selection for CAD
  Reconstruction
PS-CAD: Local Geometry Guidance via Prompting and Selection for CAD Reconstruction
Bingchen Yang
Haiyong Jiang
Hao Pan
Peter Wonka
Jun Xiao
Guosheng Lin
3DV
38
0
0
24 May 2024
ContrastCAD: Contrastive Learning-based Representation Learning for
  Computer-Aided Design Models
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
Minseop Jung
Minseong Kim
Jibum Kim
29
3
0
02 Apr 2024
Geometric Deep Learning for Computer-Aided Design: A Survey
Geometric Deep Learning for Computer-Aided Design: A Survey
Negar Heidari
Alexandros Iosifidis
3DPC
3DV
AI4CE
41
4
0
27 Feb 2024
P2CADNet: An End-to-End Reconstruction Network for Parametric 3D CAD
  Model from Point Clouds
P2CADNet: An End-to-End Reconstruction Network for Parametric 3D CAD Model from Point Clouds
Zhihao Zong
Fazhi He
Rubin Fan
Yuxin Liu
3DV
3DPC
16
1
0
04 Oct 2023
SHARP Challenge 2023: Solving CAD History and pArameters Recovery from
  Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines
SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines
Dimitrios Mallis
Sk Aziz Ali
Elona Dupont
K. Cherenkova
Ahmet Serdar Karadeniz
Mohammad Sadil Khan
Anis Kacem
Gleb Gusev
Djamila Aouada
3DPC
30
11
0
30 Aug 2023
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation
Aditya Sanghi
P. Jayaraman
Arianna Rampini
Joseph Lambourne
Hooman Shayani
Evan Atherton
Saeid Asgari Taghanaki
3DV
24
15
0
08 Jul 2023
Hierarchical Neural Coding for Controllable CAD Model Generation
Hierarchical Neural Coding for Controllable CAD Model Generation
Xiang Xu
P. Jayaraman
Joseph G. Lambourne
Karl D. D. Willis
Yasutaka Furukawa
16
40
0
30 Jun 2023
B-rep Matching for Collaborating Across CAD Systems
B-rep Matching for Collaborating Across CAD Systems
Benjamin T. Jones
James Noeckel
Milin Kodnongbua
Ilya Baran
Adriana Schulz
35
1
0
05 Jun 2023
A Survey of Methods for Converting Unstructured Data to CSG Models
A Survey of Methods for Converting Unstructured Data to CSG Models
Pierre-Alain Fayolle
Markus Friedrich
3DPC
3DV
18
9
0
02 May 2023
Neurosymbolic Models for Computer Graphics
Neurosymbolic Models for Computer Graphics
Daniel E. Ritchie
Paul Guerrero
R. K. Jones
Niloy J. Mitra
Adriana Schulz
Karl D. D. Willis
Jiajun Wu
3DV
23
31
0
20 Apr 2023
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude
  Operations
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
Pu Li
Jianwei Guo
Xiaopeng Zhang
Dongming Yan
SSL
3DV
3DPC
19
36
0
19 Mar 2023
A Review of Deep Learning-Powered Mesh Reconstruction Methods
A Review of Deep Learning-Powered Mesh Reconstruction Methods
Zhiqin Chen
3DV
35
2
0
06 Mar 2023
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual
  Complements and Dropouts
D2^22CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
Fenggen Yu
Qimin Chen
Maham Tanveer
Ali Mahdavi Amiri
Hao Zhang
3DPC
30
26
0
27 Jan 2023
SolidGen: An Autoregressive Model for Direct B-rep Synthesis
SolidGen: An Autoregressive Model for Direct B-rep Synthesis
P. Jayaraman
Joseph G. Lambourne
Nishkrit Desai
Karl D. D. Willis
Aditya Sanghi
Nigel Morris
21
50
0
26 Mar 2022
Computer-Aided Design as Language
Computer-Aided Design as Language
Yaroslav Ganin
Sergey Bartunov
Yujia Li
E. Keller
Stefano Saliceti
3DV
91
90
0
06 May 2021
Engineering Sketch Generation for Computer-Aided Design
Engineering Sketch Generation for Computer-Aided Design
Karl D. D. Willis
P. Jayaraman
Joseph G. Lambourne
Hang Chu
Yewen Pu
3DV
111
61
0
19 Apr 2021
1