Text2mesh: Text-driven neural stylization for meshes

O Michel, R Bar-On, R Liu, S Benaim… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this work, we develop intuitive controls for editing the style of 3D objects. Our framework,
Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which …

Tango: Text-driven photorealistic and robust 3d stylization via lighting decomposition

Y Chen, R Chen, J Lei, Y Zhang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Creation of 3D content by stylization is a promising yet challenging problem in computer
vision and graphics research. In this work, we focus on stylizing photorealistic appearance …

Structurenet: Hierarchical graph networks for 3d shape generation

K Mo, P Guerrero, L Yi, H Su, P Wonka, N Mitra… - arXiv preprint arXiv …, 2019 - arxiv.org
The ability to generate novel, diverse, and realistic 3D shapes along with associated part
semantics and structure is central to many applications requiring high-quality 3D assets or …

Part‐based mesh segmentation: a survey

RSV Rodrigues, JFM Morgado… - Computer Graphics …, 2018 - Wiley Online Library
This paper surveys mesh segmentation techniques and algorithms, with a focus on part‐
based segmentation, that is, segmentation that divides a mesh (featuring a 3D object) into …

A scalable active framework for region annotation in 3d shape collections

L Yi, VG Kim, D Ceylan, IC Shen, M Yan, H Su… - ACM Transactions on …, 2016 - dl.acm.org
Large repositories of 3D shapes provide valuable input for data-driven analysis and
modeling tools. They are especially powerful once annotated with semantic information such …

A comprehensive overview of methodologies and performance evaluation frameworks in 3D mesh segmentation

P Theologou, I Pratikakis, T Theoharis - Computer Vision and Image …, 2015 - Elsevier
Abstract 3D mesh segmentation has become a crucial part of many applications in 3D shape
analysis. In this paper, a comprehensive survey on 3D mesh segmentation methods is …

3D shape segmentation with projective convolutional networks

E Kalogerakis, M Averkiou, S Maji… - proceedings of the …, 2017 - openaccess.thecvf.com
This paper introduces a deep architecture for segmenting 3D objects into their labeled
semantic parts. Our architecture combines image-based Fully Convolutional Networks …

X-mesh: Towards fast and accurate text-driven 3d stylization via dynamic textual guidance

Y Ma, X Zhang, X Sun, J Ji, H Wang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Text-driven 3D stylization is a complex and crucial task in the fields of computer vision (CV)
and computer graphics (CG), aimed at transforming a bare mesh to fit a target text. Prior …

Learning shape abstractions by assembling volumetric primitives

S Tulsiani, H Su, LJ Guibas… - Proceedings of the …, 2017 - openaccess.thecvf.com
We present a learning framework for abstracting complex shapes by learning to assemble
objects using 3D volumetric primitives. In addition to generating simple and geometrically …

Learning elementary structures for 3d shape generation and matching

T Deprelle, T Groueix, M Fisher, V Kim… - Advances in …, 2019 - proceedings.neurips.cc
We propose to represent shapes as the deformation and combination of learnt elementary
3D structures. We demonstrate this decomposition in learnt elementary 3D structures is …