ISSUE 02THURSDAY, JUNE 4, 2026PRINT 06.2026

GEOMDIGEST

THE INSIDER PUBLICATION FOR COMPUTATIONAL GEOMETRY & DESIGN

Knowledge Graph

Paper Index

Search computational fabrication papers, source venues, authors, implementations, and code availability from the GEOMDIGEST knowledge graph.

1,417Papers
102,687Citations
1Artifacts
Corpus Strata
Venue / year coverage instrument
Lime height = indexed papersOrange mark = citation concentrationClick any cell to filter
151617181920212223242526
197 indexed papers
stelaCSF
2022 / ACM Transactions on Graphics / 47 citations
No code
Rafał Mantiuk, Maliha Ashraf, Alexandre Chapiro

A contrast sensitivity function, or CSF, is a cornerstone of many visual models. It explains whether a contrast pattern is visible to the human eye. The existing CSFs typically account for a subset of relevant dimensions describing a stimulus, limiting the use...

Motion In-Betweening via Two-Stage Transformers
2022 / ACM Transactions on Graphics / 47 citations
No code
Jia Qin, Youyi Zheng, Kun Zhou

We present a deep learning-based framework to synthesize motion in-betweening in a two-stage manner. Given some context frames and a target frame, the system can generate plausible transitions with variable lengths in a non-autoregressive fashion. The framewor...

FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network
2022 / Computer-Aided Design / 44 citations
No code
Aaditya Chandrasekhar, Amir M. Mirzendehdel, Morad Behandish, Krishnan Suresh
ICARUS
2022 / ACM Transactions on Graphics / 44 citations
No code
Chaolin Rao, Huangjie Yu, Haochuan Wan, Jindong Zhou, Yueyang Zheng, and 7 more

The practical deployment of Neural Radiance Fields (NeRF) in rendering applications faces several challenges, with the most critical one being low rendering speed on even high-end graphic processing units (GPUs). In this paper, we present ICARUS, a specialized...

Closed-loop control of direct ink writing via reinforcement learning
2022 / ACM Transactions on Graphics / 42 citations
No code
Michal Piovarči, Michael Foshey, Jie Xu, Timmothy Erps, Vahid Babaei, and 4 more

Enabling additive manufacturing to employ a wide range of novel, functional materials can be a major boost to this technology. However, making such materials printable requires painstaking trial-and-error by an expert operator, as they typically tend to exhibi...

Penetration-free projective dynamics on the GPU
2022 / ACM Transactions on Graphics / 42 citations
No code
Lei Lan, Guanqun Ma, Yin Yang, Changxi Zheng, Minchen Li, and 1 more

We present a GPU algorithm for deformable simulation. Our method offers good computational efficiency and penetration-free guarantee at the same time, which are not common with existing techniques. The main idea is an algorithmic integration of projective dyna...

Multiscale topology optimization for solid–lattice–void hybrid structures through an ordered multi-phase interpolation
2022 / Computer-Aided Design / 40 citations
No code
Chenghu Zhang, Tao Wu, Shuzhi Xu, Jikai Liu
Approximate Length Scale Filter in Topology Optimization using Fourier Enhanced Neural Networks
2022 / Computer-Aided Design / 38 citations
No code
Aaditya Chandrasekhar, Krishnan Suresh
MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves
2022 / Computer-Aided Design / 34 citations
No code
Jesus Tordesillas, Jonathan P. How
An efficient prediction method for the dynamic deformation of thin-walled parts in flank milling
2022 / Computer-Aided Design / 33 citations
No code
Guangyan Ge, Yukun Xiao, Xiaobing Feng, Zhengchun Du
How Does the Modeling Strategy Influence Design Optimization and the Automatic Generation of Parametric Geometry Variations?
2022 / Computer-Aided Design / 31 citations
No code
Aritz Aranburu, Josu Cotillas, Daniel Justel, Manuel Contero, Jorge D. Camba
Sketch-Based Modeling in Mechanical Engineering Design: Current Status and Opportunities
2022 / Computer-Aided Design / 31 citations
No code
Jorge D. Camba, Ferran Naya
Shape-supervised Dimension Reduction: Extracting Geometry and Physics Associated Features with Geometric Moments
2022 / Computer-Aided Design / 28 citations
No code
Shahroz Khan, Panagiotis Kaklis, Andrea Serani, Matteo Diez, 拓也 大嶋

In shape optimisation problems, subspaces generated with conventional dimension reduction approaches often fail to extract the intrinsic geometric features of the shape that would allow the exploration of diverse but valid candidate solutions. More importantly...

Variational Direct Modeling: A Framework Towards Integration of Parametric Modeling and Direct Modeling in CAD
2022 / Computer-Aided Design / 27 citations
No code
Qiang Zou, Hsi-Yung Feng, Shuming Gao
A Novel Shape Retrieval Method for 3D Mechanical Components Based on Object Projection, Pre-Trained Deep Learning Models and Autoencoder
2022 / Computer-Aided Design / 27 citations
No code
Sebastian Bickel, Benjamin Schleich, Sandro Wartzack

The reuse of existing design models offers great potential in saving resources and generating an efficient workflow. In order to fully benefit from these advantages, it is necessary to develop methods that are able to retrieve mechanical engineering geometry f...

Coupled Rigid-Block Analysis: Stability-Aware Design of Complex Discrete-Element Assemblies
2022 / Computer-Aided Design / 27 citations
No code
Gene Ting-Chun Kao, Antonino Iannuzzo, Bernhard Thomaszewski, Stelian Coros, Tom Van Mele, and 1 more

The rigid-block equilibrium (RBE) method uses a penalty formulation to measure structural infeasibility or to guide the design of stable discrete-element assemblies from unstable geometry. However, RBE is a purely force-based formulation, and it incorrectly de...

Efficient 5-axis CNC trochoidal flank milling of 3D cavities using custom-shaped cutting tools
2022 / Computer-Aided Design / 26 citations
No code
Pengbo Bo, Hongyu Fan, Michael Bartoň
Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation
2022 / Computer-Aided Design / 24 citations
No code
Shahroz Khan, Panagiotis Kaklis, Andrea Serani, Matteo Diez

In this work, we propose and test a method to expedite Global Sensitivity Analysis (GSA) in the context of shape optimisation of free-form shapes. To leverage the computational burden that is likely to occur in engineering problems, we construct a Shape-Signat...

Implicit Randomized Progressive-Iterative Approximation for Curve and Surface Reconstruction
2022 / Computer-Aided Design / 22 citations
No code
Huidi Wang
Customize My Helmet: A Novel Algorithmic Approach Based on 3D Head Prediction
2022 / Computer-Aided Design / 22 citations
No code
Jie Zhang, Yan Luximon, Parth Shah, Kangneng Zhou, Ping Li
Page 6 of 10
PreviousNext