Text2mesh: Text-driven neural stylization for meshes
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 …
Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which …
Tango: Text-driven photorealistic and robust 3d stylization via lighting decomposition
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 …
vision and graphics research. In this work, we focus on stylizing photorealistic appearance …
Structurenet: Hierarchical graph networks for 3d shape generation
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 …
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 …
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
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 …
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 …
analysis. In this paper, a comprehensive survey on 3D mesh segmentation methods is …
3D shape segmentation with projective convolutional networks
This paper introduces a deep architecture for segmenting 3D objects into their labeled
semantic parts. Our architecture combines image-based Fully Convolutional Networks …
semantic parts. Our architecture combines image-based Fully Convolutional Networks …
X-mesh: Towards fast and accurate text-driven 3d stylization via dynamic textual guidance
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 …
and computer graphics (CG), aimed at transforming a bare mesh to fit a target text. Prior …
Learning shape abstractions by assembling volumetric primitives
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 …
objects using 3D volumetric primitives. In addition to generating simple and geometrically …
Learning elementary structures for 3d shape generation and matching
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 …
3D structures. We demonstrate this decomposition in learnt elementary 3D structures is …