Texture Synthesis

Texture synthesis aims to generate realistic textures, either from examples or textual descriptions, for various applications like 3D modeling and image editing. Current research heavily utilizes diffusion models, often combined with techniques like ControlNets and attention mechanisms, to improve texture consistency, detail, and alignment with underlying geometry, particularly in 3D contexts. This field is crucial for advancing computer graphics, virtual reality, and other domains requiring high-fidelity texture generation, with recent work focusing on improving speed, realism, and user control over the synthesis process. The development of robust evaluation metrics is also an active area of research.

Papers

August 5, 2022

Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand
Jitesh Jain, Yuqian Zhou, Ning Yu, Humphrey Shi
Image Generation Inner Structure Human Hand Texture Synthesis Deep Image Texture Rather Secret Key Clean Image Structure Generation

June 17, 2022

Texture Generation Using A Graph Generative Adversarial Network And Differentiable Rendering
Dharma KC, Clayton T. Morrison, Bradley Walls
Generative Adversarial Network Conditional Generative Texture Synthesis Closed Form Differentiable Expression Texture Generation Adversarial Network

April 6, 2022

AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis
Zhiqin Chen, Kangxue Yin, Sanja Fidler
Critical Synthesis Autonomous Underwater Vehicle Texture Synthesis UV Mapping Texture Transfer Texture Representation

April 4, 2022

Exemplar-based Pattern Synthesis with Implicit Periodic Field Network
Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao
Generative Adversarial Network Texture Synthesis

March 14, 2022

Generalized Rectifier Wavelet Covariance Models For Texture Synthesis
Antoine Brochard, Sixin Zhang, Stéphane Mallat
Texture Synthesis Wavelet Based Discrete Wavelet Transform Texture Image

March 8, 2022

Towards Universal Texture Synthesis by Combining Texton Broadcasting with Noise Injection in StyleGAN-2
Jue Lin, Gaurav Sharma, Thrasyvoulos N. Pappas
StyleGAN Latent Texture Synthesis Noise Injection Broadcasting Support Relation Realistic Texture Texture Space Multi Block

February 23, 2022

U-Attention to Textures: Hierarchical Hourglass Vision Transformer for Universal Texture Synthesis
Shouchang Guo, Valentin Deschaintre, Douglas Noll, Arthur Roullier
Vision Transformer Hierarchical Attention Texture Synthesis Hierarchical Vision Transformer Efficient Attention Texture Quality Diverse Texture

January 25, 2022

Projective Urban Texturing
Yiangos Georgiou, Melinos Averkiou, Tom Kelly, Evangelos Kalogerakis
Urban Environment Texture Synthesis

January 13, 2022

SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
Carlos Rodriguez-Pardo, Elena Garces
Generative Network Texture Synthesis High Fidelity Texture Automatic Synthesis Tileable Texture

December 3, 2021

Reducing Tactile Sim2Real Domain Gaps via Deep Texture Generation Networks
Tudor Jianu, Daniel Fernandes Gomes, Shan Luo
Domain Gap Tactile Sensing Texture Synthesis Tactile Modality Optical Tactile Sensor Tactile Image Sim2Real Learning

November 26, 2021

$\mu$NCA: Texture Generation with Ultra-Compact Neural Cellular Automata
Alexander Mordvintsev, Eyvind Niklasson
Texture Synthesis Neural Cellular Automaton Texture Generation Procedural Model Diverse Texture