ISSUE 02FRIDAY, JUNE 5, 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
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540 indexed papers
Hybrid Tours: A Clip-based System for Authoring Long-take Touring Shots
2025 / ACM Transactions on Graphics
No code
Xinrui Liu, Longxiulin Deng, Abe Davis

Long-take touring (LTT) shots are characterized by smooth camera motion over a long distance that seamlessly connects different views of the captured scene. These shots offer a compelling way to visualize 3D spaces. However, filming LTT shots directly is very ...

IMLS-Splatting: Efficient Mesh Reconstruction from Multi-view Images via Point Representation
2025 / ACM Transactions on Graphics
No code
Kaizhi Yang, Dai Liu, Isabella Liu, Xiaoshuai Zhang, Xiaoyan Sun, and 3 more

Multi-view mesh reconstruction has long been a challenging problem in graphics and computer vision. In contrast to recent volumetric rendering methods that generate meshes through post-processing, we propose an end-to-end mesh optimization approach called IMLS...

GenAnalysis: Joint Shape Analysis by Learning Man-Made Shape Generators with Deformation Regularizations
2025 / ACM Transactions on Graphics
No code
Yuezhi Yang, Haitao Yang, Kiyohiro Nakayama, Xiaojun Huang, Leonidas Guibas, and 1 more

We present GenAnalysis, an implicit shape generation framework that allows joint analysis of man-made shapes, including shape matching and joint shape segmentation. The key idea is to enforce an as-affine-as-possible (AAAP) deformation between synthetic shapes...

Quadric-Based Silhouette Sampling for Differentiable Rendering
2025 / ACM Transactions on Graphics
No code
Mariia Soroka, Christoph Peters, Steve Marschner

Physically based differentiable rendering has established itself as key to inverse rendering, in which scenes are recovered from images through gradient-based optimization. Taking the derivative of the rendering equation is made difficult by the presence of di...

A Deep Learning-based Virtual Oculoplastic Surgery Simulator
2025 / ACM Transactions on Graphics
No code
Seonghyeon Kim, Chang Wook Seo, Kwanggyoon Seo, Seung Han Song, Junyong Noh

Oculoplastic surgery is a critical treatment for various eye conditions, such as ptosis, which can cause both aesthetic and functional issues. Due to the anxiety about the outcome, patients are often hesitant to undergo the necessary procedures required for th...

A Fully-statistical Wave Scattering Model for Heterogeneous Surfaces
2025 / ACM Transactions on Graphics
No code
Zhengze Liu, Yuchi Huo, Yifan Peng, Rui Wang

Heterogeneous surfaces exhibit spatially varying geometry and material, and therefore admit diverse appearances. Existing computer graphics works can only model heterogeneity using explicit structures or statistical parameters that describe a coarser level of ...

Practical Inverse Rendering of Textured and Translucent Appearance
2025 / ACM Transactions on Graphics
No code
Philippe Weier, Jérémy Rivière, 拓也 大嶋, Stephan J. Garbin, Bernd Bickel, and 2 more

Inverse rendering has emerged as a standard tool to reconstruct the parameters of appearance models from images (e.g., textured BSDFs). In this work, we present several novel contributions motivated by the practical challenges of recovering high-resolution sur...

CK-MPM: A Compact-Kernel Material Point Method
2025 / ACM Transactions on Graphics
No code
M.H. Liu, Xinlei Wang, Minchen Li

The Material Point Method (MPM) has become a cornerstone of physics-based simulation, widely used in geomechanics and computer graphics for modeling phenomena such as granular flows, viscoelasticity, fracture mechanics, etc. Despite its versatility, the origin...

Shape Space Spectra
2025 / ACM Transactions on Graphics
No code
Chang Yue, Otman Benchekroun, Maurizio M. Chiaramonte, Peter Yichen Chen, Eitan Grinspun

Eigenanalysis of differential operators, such as the Laplace operator or elastic energy Hessian, is typically restricted to a single shape and its discretization, limiting reduced order modeling (ROM). We introduce the first eigenanalysis method for continuous...

Viscous Vortex Dynamics on Surfaces
2025 / ACM Transactions on Graphics
No code
Cuncheng Zhu, Hang Yin, Albert Chern

We present a vorticity method for simulating incompressible viscous flows on curved surfaces governed by the Navier-Stokes equations. Unlike previous approaches, our formulation incorporates the often-overlooked Gaussian-curvature-dependent term in the viscous...

Geometric Contact Potential
2025 / ACM Transactions on Graphics
No code
Zizhou Huang, Maxwell Paik, Zachary Ferguson, Daniele Panozzo, Denis Zorin

Barrier potentials gained popularity as a means for robust contact handling in physical modeling and for modeling self-avoiding shapes. The key to the success of these approaches is adherence to geometric constraints, i.e., avoiding intersections, which are th...

A Monte Carlo Rendering Framework for Simulating Optical Heterodyne Detection
2025 / ACM Transactions on Graphics
No code
Juhyeon Kim, Craig Benko, Magnus Wrenninge, Ryusuke Villemin, Zeb W. Barber, and 2 more

Optical heterodyne detection (OHD) employs coherent light and optical interference techniques (Fig. 1-(A)) to extract physical parameters, such as velocity or distance, which are encoded in the frequency modulation of the light. With its superior signal-to-noi...

Arenite: A Physics-based Sandstone Simulator
2025 / ACM Transactions on Graphics
No code
Zhanyu Yang, Aryamaan Jain, Guillaume Cordonnier, Marie‐Paule Cani, Zhaopeng Wang, and 1 more

We introduce Arenite, a novel physics-based approach for modeling sandstone structures. The key insight of our work is that simulating a combination of stress and multi-factor erosion enables the generation of a wide variety of sandstone structures observed in...

NAM: Neural Adjoint Maps for refining shape correspondences
2025 / ACM Transactions on Graphics
No code
Giulio Viganò, Maks Ovsjanikov, Simone Melzi

In this paper, we propose a novel approach to refine 3D shape correspondences by leveraging multi-layer perceptions within the framework of functional maps. Central to our contribution is the concept of Neural Adjoint Maps , a novel neural representation that ...

Instant Self-Intersection Repair for 3D Meshes
2025 / ACM Transactions on Graphics
No code
Wonjong Jang, Yucheol Jung, Gyeongmin Lee, Seungyong Lee

Self-intersection repair in static 3D surface meshes presents unique challenges due to the absence of temporal motion and penetration depth information—two critical elements typically leveraged in physics-based approaches. We introduce a novel framework that t...

Streaming-Aware Neural Monte Carlo Rendering Framework with Unified Denoising-Compression and Client Collaboration
2025 / ACM Transactions on Graphics
No code
Hangming Fan, Yuchi Huo, Chuankun Zheng, Chonghao Hu, Yazhen Yuan, and 1 more

Recent advances in cloud rendering have brought us a promising alternative for interactive photorealistic rendering on lightweight devices, which used to be only available on high-end platforms equipped with powerful graphic cards. This technique enables users...

Fine-Grained Spatially Varying Material Selection in Images
2025 / ACM Transactions on Graphics
No code
Julia Guerrero‐Viu, Michael Fischer, Iliyan Georgiev, Elena Garcés, Diego Gutiérrez, and 2 more

Selection is the first step in many image editing processes, enabling faster and simpler modifications of all pixels sharing a common modality. In this work, we present a method for material selection in images, robust to lighting and reflectance variations, w...

Single Edge Collapse Quad-Dominant Mesh Reduction
2025 / ACM Transactions on Graphics
No code
Julian Knodt

Mesh reduction using quadric error metrics is the industry standard for producing level-of-detail (LOD) geometry for meshes. Although industry tools produce visually excellent LODs, mesh topology is often ruined during decimation. This is because tools focus o...

Order Matters: Learning Element Ordering for Graphic Design Generation
2025 / ACM Transactions on Graphics
No code
Bo Yang, Ying Cao

The past few years have witnessed an emergent interest in building generative models for the graphic design domain. For adoption of powerful deep generative models with Transformer-based neural backbones, prior approaches formulate designs as ordered sequences...

Progressive Dynamics++: A Framework for Stable, Continuous, and Consistent Animation Across Resolution and Time
2025 / ACM Transactions on Graphics
No code
Jiayi Eris Zhang, Doug L. James, Danny M. Kaufman

The recently developed Progressive Dynamics framework [Zhang et al. 2024] addresses the long-standing challenge in enabling rapid iterative design for high-fidelity cloth and shell animation. In this work, we identify fundamental limitations of the original me...

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