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

December 28, 2023

Exploring 3D-aware Lifespan Face Aging via Disentangled Shape-Texture Representations
Qianrui Teng, Rui Wang, Xing Cui, Peipei Li, Zhaofeng He
Texture Synthesis 3D Face 3D Face Reconstruction Face Aging

December 18, 2023

Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering
Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll
Critical Synthesis Texture Synthesis Based Rendering High Fidelity Texture Texture Map Adversarial Texture

November 28, 2023

November 6, 2023

Mesh Neural Cellular Automata
Ehsan Pajouheshgar, Yitao Xu, Alexander Mordvintsev, Eyvind Niklasson, Tong Zhang, Sabine Süsstrunk
Texture Synthesis High Fidelity Texture

October 20, 2023

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin
Diffusion Model Text to Image Diffusion Texture Synthesis Latent Image 3D Texture Texture Diffusion

October 19, 2023

DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation
Bangbang Yang, Wenqi Dong, Lin Ma, Wenbo Hu, Xiao Liu, Zhaopeng Cui, Yuewen Ma
Panorama Generation Texture Synthesis ROOM Layout Free Viewpoint Rendering

September 26, 2023

Diffusion-based Holistic Texture Rectification and Synthesis
Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui
Critical Synthesis Texture Synthesis Occlusion Aware Image Rectification

September 13, 2023

Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection
Tengyang Chen, Jiangtao Ren
Generative Adversarial Network Texture Synthesis Road Damage Road Damage Detection GAN Framework

September 5, 2023

Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture Synthesis
Alhasan Abdellatif, Ahmed H. Elsheikh, Hannah P. Menke
Generative Adversarial Network Texture Synthesis High Fidelity Texture Texture Generation Zero Padding

May 10, 2023

May 4, 2023

Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization
Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas Guibas, Gordon Wetzstein, Sameh Khamis
Texture Synthesis Morphable Model Morphable Face Model

May 1, 2023

Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks
Sihun Cha, Kwanggyoon Seo, Amirsaman Ashtari, Junyong Noh
Single Image Open Sampling Texture Synthesis Refinement Network Texture Generation Texture Map Avatar Creation

March 30, 2023

Semantic Image Translation for Repairing the Texture Defects of Building Models
Qisen Shang, Han Hu, Haojia Yu, Bo Xu, Libin Wang, Qing Zhu
Image Translation Texture Synthesis 3D Building Building Model Surface Defect Image Structure Texture Mapping

February 3, 2023

A geometrically aware auto-encoder for multi-texture synthesis
Pierrick Chatillon, Yann Gousseau, Sidonie Lefebvre
Auto Encoder Texture Synthesis Texture Representation

December 20, 2022

Texture Representation via Analysis and Synthesis with Generative Adversarial Networks
Jue Lin, Gaurav Sharma, Thrasyvoulos N. Pappas
Generative Adversarial Network General Analysis Critical Synthesis GAN Inversion Texture Synthesis Texture Representation

November 21, 2022

Texture Synthesis

Papers

Exploring 3D-aware Lifespan Face Aging via Disentangled Shape-Texture Representations

Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors

ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis

Mesh Neural Cellular Automata

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation

Diffusion-based Holistic Texture Rectification and Synthesis

Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection

Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture Synthesis

Learning in a Single Domain for Non-Stationary Multi-Texture Synthesis

Text-guided High-definition Consistency Texture Model

Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation

Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization

Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks

Semantic Image Translation for Repairing the Texture Defects of Building Models

A geometrically aware auto-encoder for multi-texture synthesis

Texture Representation via Analysis and Synthesis with Generative Adversarial Networks

DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata

Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein Loss