A survey of content based 3D shape retrieval methods

JWH Tangelder, RC Veltkamp - Proceedings Shape Modeling …, 2004 - ieeexplore.ieee.org
Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has
led to an explosion in the number of available 3D models on the Internet and in domain …

[HTML][HTML] Digital twins for wastewater treatment: A technical review

AJ Wang, H Li, Z He, Y Tao, H Wang, M Yang, D Savic… - Engineering, 2024 - Elsevier
The digital twins concept enhances modeling and simulation through the integration of real-
time data and feedback. This review elucidates the foundational elements of digital twins …

3DALL-E: Integrating text-to-image AI in 3D design workflows

V Liu, J Vermeulen, G Fitzmaurice… - Proceedings of the 2023 …, 2023 - dl.acm.org
Text-to-image AI are capable of generating novel images for inspiration, but their
applications for 3D design workflows and how designers can build 3D models using AI …

Comboverse: Compositional 3d assets creation using spatially-aware diffusion guidance

Y Chen, T Wang, T Wu, X Pan, K Jia, Z Liu - European Conference on …, 2024 - Springer
Generating high-quality 3D assets from a given image is highly desirable in various
applications such as AR/VR. Recent advances in single-image 3D generation explore feed …

3d shapenets: A deep representation for volumetric shapes

Z Wu, S Song, A Khosla, F Yu, L Zhang… - Proceedings of the …, 2015 - cv-foundation.org
Abstract 3D shape is a crucial but heavily underutilized cue in today's computer vision
systems, mostly due to the lack of a good generic shape representation. With the recent …

Unsupervised learning of 3d structure from images

D Jimenez Rezende, SM Eslami… - Advances in neural …, 2016 - proceedings.neurips.cc
A key goal of computer vision is to recover the underlying 3D structure that gives rise to 2D
observations of the world. If endowed with 3D understanding, agents can abstract away from …

Neural dual contouring

Z Chen, A Tagliasacchi, T Funkhouser… - ACM Transactions on …, 2022 - dl.acm.org
We introduce neural dual contouring (NDC), a new data-driven approach to mesh
reconstruction based on dual contouring (DC). Like traditional DC, it produces exactly one …

Joinable: Learning bottom-up assembly of parametric cad joints

KDD Willis, PK Jayaraman, H Chu… - Proceedings of the …, 2022 - openaccess.thecvf.com
Physical products are often complex assemblies combining a multitude of 3D parts modeled
in computer-aided design (CAD) software. CAD designers build up these assemblies by …

A benchmark for 3D mesh segmentation

X Chen, A Golovinskiy, T Funkhouser - Acm transactions on graphics …, 2009 - dl.acm.org
This paper describes a benchmark for evaluation of 3D mesh segmentation salgorithms. The
benchmark comprises a data set with 4,300 manually generated segmentations for 380 …

A probabilistic model for component-based shape synthesis

E Kalogerakis, S Chaudhuri, D Koller… - Acm Transactions on …, 2012 - dl.acm.org
We present an approach to synthesizing shapes from complex domains, by identifying new
plausible combinations of components from existing shapes. Our primary contribution is a …