Clustered Vector Textures.
Peihan Tu, Li-Yi Wei, Matthias Zwicker.
TOG (SIGGRAPH) 2022. [PDF] [Project]
Continuous Curve Textures.
Peihan Tu, Li-Yi Wei, Koji Yatani, Takeo Igarashi, Matthias Zwicker.
TOG (SIGGRAPH Asia) 2020. [PDF] [Project]
Texturify: Generating Textures on 3D Shape Surfaces.
Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai.
ECCV 2022. [PDF] [Project]
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis.
Zhiqin Chen, Kangxue Yin, Sanja Fidler.
CVPR 2022. [PDF] [Project]
Learning Texture Generators for 3D Shape Collections from Internet Photo Sets.
Rui Yu, Yue Dong, Pieter Peers, Xin Tong.
BMVC 2021. [PDF]
IALS: Learning High-Fidelity Face Texture Completion without Complete Face Texture.
Jongyoo Kim, Jiaolong Yang, Xin Tong.
ICCV 2021. [PDF] [Code]
Neural Surface Maps.
Luca Morreale, Noam Aigerman, Vladimir Kim, Niloy J. Mitra.
CVPR 2021. [PDF] [Code]
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering.
Fanbo Xiang, Zexiang Xu, Miloš Hašan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su.
CVPR 2021. [PDF]
Continuous Surface Embeddings.
Natalia Neverova, David Novotny, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi.
NeurIPS 2020. [PDF]
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars.
Tiziano Portenier, Siavash Bigdeli, Orçun Göksel.
NeurIPS 2020. [PDF] [Code]
Deep Geometric Texture Synthesis.
Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or.
TOG 2020. [PDF] [Project] [Code]
Leveraging 2D Data to Learn Textured 3D Mesh Generation.
Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert.
CVPR 2020 (oral). [PDF] [Code]
Articulation-aware Canonical Surface Mapping.
Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani.
CVPR 2020. [PDF] [Project] [Code]
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World.
Shangbang Long, Cong Yao.
CVPR 2020. [PDF] [Code]
Adversarial Texture Optimization from RGB-D Scans.
Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Jiang, Leonidas Guibas, Matthias Nießner, Thomas Funkhouser.
CVPR 2020. [PDF] [Project] [Code] [pyRender]
Better Patch Stitching for Parametric Surface Reconstruction.
Zhantao Deng, Jan Bednařík, Mathieu Salzmann, Pascal Fua.
3DV 2020. [PDF]
Learning Elementary Structures For 3D Shape Generation And Matching.
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry.
TOG 2019. [PDF] [Project] [Code]
Learning to Generate Textures on Meshes.
Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir Kim, Jingwan Lu, James Hays.
CVPR 2019 Workshops on Deep Generative Models for 3D Understanding (Best Paper). [PDF]
CSM: Canonical Surface Mapping via Geometric Cycle Consistency.
Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani.
ICCV 2019. [PDF] [Code] [Project]
Texture Fields: Learning Texture Representations in Function Space.
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger.
ICCV 2019. [PDF]
Learning Category-Specific Mesh Reconstruction from Image Collections.
Angjoo Kanazawa, Shubham Tulsiani Alexei A. Efros, Jitendra Malik.
ECCV 2018. [Code] [Project]
AtlasNet: A Papier-Mache Approach to Learning 3D Surface Generation.
Thibault Groueix, Matthew Fisher, Vladimir Kim, Bryan Russell, Mathieu Aubry.
CVPR 2018. [PDF] [Project] [Code]
Texture Mapping for 3D Reconstruction with RGB-D Sensor.
Yanping Fu, Qingan Yan, Long Yang, Jie Liao, Chunxia Xiao.
CVPR 2018. [PDF] [thecvf] [Code on Github]
Let There Be Color! - Large-Scale Texturing of 3D Reconstructions.
Waechter, Michael and Moehrle, Nils and Goesele, Michael.
ECCV 2018. [PDF] [Project] [Code] [rayint] [Eigen] [Multi-View Environment] [mapMAP]
Unsupervised Texture Transfer from Images to Model Collections.
Tuanfeng Yand Wang, Hao Su, Qixing Huang, Jingwei Huang, Leonidas J. Guibas, Niloy J. Mitra.
TOG 2016. [PDF] [Project] [Data]
Fine Detailed Texture Learning for 3D Meshes with Generative Models.
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro.
arxiv 2022. [PDF] [Project]